System manufacturer System Product Name
Geekbench ML Score
21263
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 04:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X570-P |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9551
1.79 KIPS |
|
|
Image Classification (F16)
|
100% |
9465
1.77 KIPS |
|
|
Image Classification (I8)
|
100% |
8865
1.66 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16006
267.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
16166
270.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
14691
245.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
153132
185.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
152662
184.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
137350
166.3 IPS |
|
|
Object Detection (F32)
|
100% |
6002
448.1 IPS |
|
|
Object Detection (F16)
|
100% |
5986
446.9 IPS |
|
|
Object Detection (I8)
|
63% |
5395
402.8 IPS |
|
|
Face Detection (F32)
|
100% |
32314
384.2 IPS |
|
|
Face Detection (F16)
|
100% |
32226
383.2 IPS |
|
|
Face Detection (I8)
|
89% |
27786
330.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
63292
490.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
56435
437.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
46422
360.0 IPS |
|
|
Style Transfer (F32)
|
100% |
265525
349.3 IPS |
|
|
Style Transfer (F16)
|
100% |
266989
351.2 IPS |
|
|
Style Transfer (I8)
|
98% |
234394
308.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
42904
1.53 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
42907
1.53 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
31577
1.13 KIPS |
|
|
Text Classification (F32)
|
100% |
2716
3.90 KIPS |
|
|
Text Classification (F16)
|
100% |
2730
3.92 KIPS |
|
|
Text Classification (I8)
|
98% |
1751
2.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
4665
85.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4666
85.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2717
50.0 IPS |
