Generic
Geekbench AI Score
2370
Single Precision Score
1200
Half Precision Score
4355
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | iClondike |
| Upload Date | December 11 2024 08:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11600K |
| 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% |
1767
328.6 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
99% |
5530
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1886
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3854
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3179
3.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
16105
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (HP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (Q)
|
86% |
4204
337.9 IPS |
|
|
Face Detection (SP)
|
100% |
2961
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
1174
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
6764
80.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4931
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1756
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11359
90.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8905
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7590
9.76 IPS |
|
|
Style Transfer (Q)
|
98% |
15105
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1710
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3309
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
1494
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
482
646.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
1878
37.7 IPS |
