ASUS System Product Name
Geekbench ML Score
7279
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 03 2024 10:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4362
816.2 IPS |
|
|
Image Classification (F16)
|
100% |
4284
801.7 IPS |
|
|
Image Classification (I8)
|
99% |
8935
1.67 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2464
41.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2634
44.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3371
56.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
16638
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16758
20.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
51871
62.8 IPS |
|
|
Object Detection (F32)
|
100% |
3929
293.3 IPS |
|
|
Object Detection (F16)
|
100% |
3996
298.4 IPS |
|
|
Object Detection (I8)
|
62% |
4022
300.3 IPS |
|
|
Face Detection (F32)
|
100% |
5654
67.2 IPS |
|
|
Face Detection (F16)
|
100% |
5682
67.6 IPS |
|
|
Face Detection (I8)
|
89% |
7257
86.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16347
126.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
16423
127.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
29705
230.4 IPS |
|
|
Style Transfer (F32)
|
100% |
37456
49.3 IPS |
|
|
Style Transfer (F16)
|
100% |
37388
49.2 IPS |
|
|
Style Transfer (I8)
|
98% |
39187
51.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7420
265.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7201
257.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6707
239.5 IPS |
|
|
Text Classification (F32)
|
100% |
3236
4.65 KIPS |
|
|
Text Classification (F16)
|
100% |
3239
4.65 KIPS |
|
|
Text Classification (I8)
|
98% |
574
824.8 IPS |
|
|
Machine Translation (F32)
|
100% |
4474
82.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4455
82.0 IPS |
|
|
Machine Translation (I8)
|
67% |
4981
91.7 IPS |
