System manufacturer System Product Name
Geekbench ML Score
16721
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | aebrownleeiv |
| Upload Date | August 16 2024 06:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING WIFI II |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 16.0 MB x 4 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8191
1.53 KIPS |
|
|
Image Classification (F16)
|
100% |
8382
1.57 KIPS |
|
|
Image Classification (I8)
|
100% |
5569
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12342
206.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
12377
206.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
9360
156.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
167619
203.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
169002
204.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
122824
148.7 IPS |
|
|
Object Detection (F32)
|
100% |
4496
335.6 IPS |
|
|
Object Detection (F16)
|
100% |
4479
334.4 IPS |
|
|
Object Detection (I8)
|
56% |
3904
291.5 IPS |
|
|
Face Detection (F32)
|
100% |
25896
307.9 IPS |
|
|
Face Detection (F16)
|
100% |
26474
314.8 IPS |
|
|
Face Detection (I8)
|
89% |
18200
216.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
52665
408.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
53011
411.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
31922
247.6 IPS |
|
|
Style Transfer (F32)
|
100% |
261465
343.9 IPS |
|
|
Style Transfer (F16)
|
100% |
249964
328.8 IPS |
|
|
Style Transfer (I8)
|
98% |
173451
228.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
34253
1.22 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
34925
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
19616
700.5 IPS |
|
|
Text Classification (F32)
|
100% |
2232
3.21 KIPS |
|
|
Text Classification (F16)
|
100% |
2249
3.23 KIPS |
|
|
Text Classification (I8)
|
98% |
1162
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
3517
64.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3504
64.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1569
28.9 IPS |
