Generic
Geekbench AI Score
3028
Single Precision Score
1349
Half Precision Score
4742
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 10:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Generic |
| Motherboard | ASRock X470 Master SLI/ac |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2197
408.5 IPS |
|
|
Image Classification (HP)
|
100% |
484
90.0 IPS |
|
|
Image Classification (Q)
|
96% |
4578
854.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
4780
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7535
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4858
5.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
17894
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2122
168.3 IPS |
|
|
Object Detection (HP)
|
100% |
588
46.6 IPS |
|
|
Object Detection (Q)
|
58% |
3567
389.7 IPS |
|
|
Face Detection (SP)
|
100% |
4079
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (Q)
|
96% |
8121
96.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6940
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1933
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12423
99.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14390
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13768
17.7 IPS |
|
|
Style Transfer (Q)
|
87% |
14445
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1510
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3409
126.3 IPS |
|
|
Text Classification (SP)
|
100% |
1045
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
570
761.0 IPS |
|
|
Text Classification (Q)
|
97% |
375
501.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2210
42.7 IPS |
