Generic
Geekbench AI Score
1870
Single Precision Score
2498
Half Precision Score
3717
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | January 01 2025 08:44 PM |
| Views | 9 |
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% |
1223
227.4 IPS |
|
|
Image Classification (HP)
|
100% |
1523
283.3 IPS |
|
|
Image Classification (Q)
|
99% |
1637
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3031
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3462
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3523
4.11 IPS |
|
|
Pose Estimation (HP)
|
99% |
2588
3.02 IPS |
|
|
Pose Estimation (Q)
|
97% |
10629
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1169
92.7 IPS |
|
|
Object Detection (HP)
|
98% |
1823
145.0 IPS |
|
|
Object Detection (Q)
|
90% |
2947
235.6 IPS |
|
|
Face Detection (SP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6018
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
8439
100.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4160
32.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6904
53.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9273
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9091
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14337
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24234
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2624
96.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5098
188.8 IPS |
|
|
Text Classification (SP)
|
71% |
395
570.8 IPS |
|
|
Text Classification (HP)
|
71% |
380
549.1 IPS |
|
|
Text Classification (Q)
|
92% |
402
539.6 IPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
98% |
733
12.7 IPS |
|
|
Machine Translation (Q)
|
100% |
731
12.6 IPS |
