Generic
Geekbench AI Score
1379
Single Precision Score
1431
Half Precision Score
927
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 11 2024 09:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 750 |
| 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% |
625
116.2 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.7 IPS |
|
|
Image Classification (Q)
|
100% |
501
93.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
624
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4263
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4792
5.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
2902
3.40 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (HP)
|
98% |
573
45.6 IPS |
|
|
Object Detection (Q)
|
86% |
559
45.0 IPS |
|
|
Face Detection (SP)
|
100% |
1311
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
1483
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
980
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2529
19.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2792
21.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1841
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9043
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11950
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
6516
8.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
766
28.4 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.4 IPS |
|
|
Text Classification (HP)
|
100% |
388
517.3 IPS |
|
|
Text Classification (Q)
|
97% |
327
437.5 IPS |
|
|
Machine Translation (SP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
70% |
315
5.90 IPS |
