Generic
Geekbench AI Score
1955
Single Precision Score
878
Half Precision Score
2302
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 07:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450 Gaming-ITX/ac |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1508
280.4 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.6 IPS |
|
|
Image Classification (Q)
|
96% |
2009
375.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
2284
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3419
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2729
3.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
3708
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
58% |
1286
140.5 IPS |
|
|
Face Detection (SP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
903
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
4068
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3980
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1257
9.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
4198
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8014
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6364
8.18 IPS |
|
|
Style Transfer (Q)
|
87% |
7855
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1557
57.7 IPS |
|
|
Text Classification (SP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
390
520.9 IPS |
|
|
Text Classification (Q)
|
97% |
656
878.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
68% |
1399
27.0 IPS |
