Generic
Geekbench AI Score
1904
Single Precision Score
2563
Half Precision Score
3806
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 11 2024 09:32 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 750 (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z490 Steel Legend |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1230
228.7 IPS |
|
|
Image Classification (HP)
|
100% |
1851
344.1 IPS |
|
|
Image Classification (Q)
|
99% |
2347
437.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3042
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3497
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3509
4.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
2585
3.02 IPS |
|
|
Pose Estimation (Q)
|
97% |
10609
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1175
93.2 IPS |
|
|
Object Detection (HP)
|
98% |
1837
146.2 IPS |
|
|
Object Detection (Q)
|
90% |
2415
193.1 IPS |
|
|
Face Detection (SP)
|
100% |
3474
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6044
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
8523
101.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4152
32.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6924
53.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
9322
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9076
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14348
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24261
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1626
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2635
97.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5136
190.2 IPS |
|
|
Text Classification (SP)
|
71% |
404
584.1 IPS |
|
|
Text Classification (HP)
|
71% |
387
560.3 IPS |
|
|
Text Classification (Q)
|
92% |
407
547.0 IPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
98% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
100% |
753
13.0 IPS |
