Generic
Geekbench AI Score
1921
Single Precision Score
958
Half Precision Score
2818
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | compaqdrew |
| Upload Date | December 09 2024 01:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z370M Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1569
291.7 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (Q)
|
96% |
2629
491.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
1742
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3498
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3306
3.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
7506
8.87 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
58% |
1806
197.4 IPS |
|
|
Face Detection (SP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
759
9.02 IPS |
|
|
Face Detection (Q)
|
96% |
4040
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4156
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1343
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5936
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8578
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7523
9.67 IPS |
|
|
Style Transfer (Q)
|
87% |
7632
9.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1321
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1980
73.4 IPS |
|
|
Text Classification (SP)
|
100% |
1287
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
646
861.9 IPS |
|
|
Text Classification (Q)
|
97% |
1091
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.54 IPS |
|
|
Machine Translation (Q)
|
68% |
1287
24.9 IPS |
