System manufacturer System Product Name
Geekbench ML Score
2830
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2025 05:05 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 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 | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1207
225.8 IPS |
|
|
Image Classification (F16)
|
100% |
1197
224.0 IPS |
|
|
Image Classification (I8)
|
97% |
2748
514.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1447
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1428
23.9 IPS |
|
|
Image Segmentation (I8)
|
97% |
2253
37.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6400
7.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
6177
7.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
15448
18.7 IPS |
|
|
Object Detection (F32)
|
100% |
1276
95.2 IPS |
|
|
Object Detection (F16)
|
100% |
1372
102.5 IPS |
|
|
Object Detection (I8)
|
60% |
1248
93.2 IPS |
|
|
Face Detection (F32)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (F16)
|
100% |
2153
25.6 IPS |
|
|
Face Detection (I8)
|
87% |
3098
36.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5465
42.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5193
40.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
10645
82.5 IPS |
|
|
Style Transfer (F32)
|
100% |
13439
17.7 IPS |
|
|
Style Transfer (F16)
|
100% |
14207
18.7 IPS |
|
|
Style Transfer (I8)
|
85% |
14437
19.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2296
82.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2600
92.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3045
108.8 IPS |
|
|
Text Classification (F32)
|
100% |
1133
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1199
1.72 KIPS |
|
|
Text Classification (I8)
|
94% |
802
1.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
1805
33.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1487
27.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2246
41.3 IPS |
