Generic
Geekbench AI Score
2550
Single Precision Score
1167
Half Precision Score
2985
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 19 2025 08:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Generic |
| Motherboard | ASRock H310CM-HDV/M.2 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2171
403.8 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (Q)
|
96% |
3086
576.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
1640
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4674
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3989
4.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
8498
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1987
157.6 IPS |
|
|
Object Detection (HP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (Q)
|
58% |
1948
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
2659
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (Q)
|
96% |
5031
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5649
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1601
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7297
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11015
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8887
11.4 IPS |
|
|
Style Transfer (Q)
|
87% |
10885
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1702
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2335
86.5 IPS |
|
|
Text Classification (SP)
|
100% |
1409
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
694
927.0 IPS |
|
|
Text Classification (Q)
|
97% |
456
610.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (Q)
|
68% |
1579
30.5 IPS |
