Generic
Geekbench AI Score
2448
Single Precision Score
999
Half Precision Score
3259
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | oouc |
| Upload Date | December 06 2025 06:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Steel Legend |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1939
360.6 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (Q)
|
96% |
2843
530.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1185
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
3846
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5368
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3960
4.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
6744
7.97 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
58% |
2028
221.6 IPS |
|
|
Face Detection (SP)
|
100% |
3840
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
913
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
5585
66.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6017
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1444
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6790
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11778
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10101
13.0 IPS |
|
|
Style Transfer (Q)
|
87% |
11678
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1292
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1992
73.8 IPS |
|
|
Text Classification (SP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
385
513.8 IPS |
|
|
Text Classification (Q)
|
97% |
682
914.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
68% |
1504
29.1 IPS |
