Generic
Geekbench AI Score
452
Single Precision Score
359
Half Precision Score
828
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 18 2025 05:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium Gold G6605 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z590 OC Formula |
| CPU Information | |
|---|---|
| Name | Intel Pentium Gold G6605 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
96% |
583
108.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (Q)
|
97% |
556
9.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
437
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
430
0.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
1113
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (Q)
|
58% |
413
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
810
9.63 IPS |
|
|
Face Detection (HP)
|
100% |
555
6.60 IPS |
|
|
Face Detection (Q)
|
96% |
1348
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
630
4.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
1319
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1264
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1258
1.62 IPS |
|
|
Style Transfer (Q)
|
87% |
2622
3.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
689
25.5 IPS |
|
|
Text Classification (SP)
|
100% |
371
495.3 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.3 IPS |
|
|
Text Classification (Q)
|
97% |
321
429.6 IPS |
|
|
Machine Translation (SP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
344
5.93 IPS |
|
|
Machine Translation (Q)
|
68% |
990
19.1 IPS |
