System manufacturer System Product Name
Geekbench ML Score
2170
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | aebrownleeiv |
| Upload Date | August 16 2024 06:40 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
962
180.1 IPS |
|
|
Image Classification (F16)
|
100% |
940
175.8 IPS |
|
|
Image Classification (I8)
|
97% |
1772
331.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
834
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
832
13.9 IPS |
|
|
Image Segmentation (I8)
|
97% |
1565
26.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8161
9.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
8234
9.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
8328
10.1 IPS |
|
|
Object Detection (F32)
|
100% |
1063
79.4 IPS |
|
|
Object Detection (F16)
|
100% |
1072
80.0 IPS |
|
|
Object Detection (I8)
|
60% |
914
68.2 IPS |
|
|
Face Detection (F32)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (F16)
|
100% |
1863
22.2 IPS |
|
|
Face Detection (I8)
|
87% |
2549
30.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4766
37.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5219
40.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
6871
53.3 IPS |
|
|
Style Transfer (F32)
|
100% |
14862
19.5 IPS |
|
|
Style Transfer (F16)
|
100% |
14780
19.4 IPS |
|
|
Style Transfer (I8)
|
85% |
12186
16.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2026
72.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1629
58.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2050
73.2 IPS |
|
|
Text Classification (F32)
|
100% |
765
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
775
1.11 KIPS |
|
|
Text Classification (I8)
|
94% |
293
421.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1229
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1220
22.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1704
31.4 IPS |
