ASUS System Product Name
Geekbench ML Score
15916
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 01:32 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII FORMULA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 512 KB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7887
1.48 KIPS |
|
|
Image Classification (F16)
|
100% |
7915
1.48 KIPS |
|
|
Image Classification (I8)
|
100% |
5171
967.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
11889
198.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
12188
203.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
8854
147.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
146422
177.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
148260
179.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
110871
134.3 IPS |
|
|
Object Detection (F32)
|
100% |
5236
390.9 IPS |
|
|
Object Detection (F16)
|
100% |
5459
407.6 IPS |
|
|
Object Detection (I8)
|
56% |
4206
314.0 IPS |
|
|
Face Detection (F32)
|
100% |
25837
307.2 IPS |
|
|
Face Detection (F16)
|
100% |
25888
307.8 IPS |
|
|
Face Detection (I8)
|
89% |
16791
199.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
54096
419.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
47042
364.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
30218
234.3 IPS |
|
|
Style Transfer (F32)
|
100% |
233114
306.6 IPS |
|
|
Style Transfer (F16)
|
100% |
210582
277.0 IPS |
|
|
Style Transfer (I8)
|
98% |
157654
207.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31457
1.12 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
28891
1.03 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18547
662.4 IPS |
|
|
Text Classification (F32)
|
100% |
2150
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
2169
3.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1126
1.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
3264
60.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3382
62.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1451
26.7 IPS |
