System manufacturer System Product Name
Geekbench ML Score
5621
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 04:56 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| 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 | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1753
328.0 IPS |
|
|
Image Classification (F16)
|
100% |
1756
328.6 IPS |
|
|
Image Classification (I8)
|
100% |
1545
289.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
3037
50.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3020
50.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2714
45.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
52572
63.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
52445
63.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
41320
50.0 IPS |
|
|
Object Detection (F32)
|
100% |
1875
140.0 IPS |
|
|
Object Detection (F16)
|
100% |
1895
141.5 IPS |
|
|
Object Detection (I8)
|
61% |
1726
128.8 IPS |
|
|
Face Detection (F32)
|
100% |
4255
50.6 IPS |
|
|
Face Detection (F16)
|
100% |
4258
50.6 IPS |
|
|
Face Detection (I8)
|
89% |
3720
44.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15809
122.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
15796
122.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
12748
98.9 IPS |
|
|
Style Transfer (F32)
|
100% |
82321
108.3 IPS |
|
|
Style Transfer (F16)
|
100% |
80292
105.6 IPS |
|
|
Style Transfer (I8)
|
98% |
64623
85.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13866
495.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13603
485.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9295
331.9 IPS |
|
|
Text Classification (F32)
|
100% |
1331
1.91 KIPS |
|
|
Text Classification (F16)
|
100% |
1332
1.91 KIPS |
|
|
Text Classification (I8)
|
98% |
877
1.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
1279
23.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1279
23.5 IPS |
|
|
Machine Translation (I8)
|
70% |
924
17.0 IPS |
