System manufacturer System Product Name
Geekbench AI Score
4424
Single Precision Score
4384
Half Precision Score
6259
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 11 2025 09:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-9600K CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XI GENE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2778
516.7 IPS |
|
|
Image Classification (HP)
|
100% |
2760
513.2 IPS |
|
|
Image Classification (Q)
|
100% |
3994
742.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2806
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2823
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4847
78.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5906
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5913
6.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
10935
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2730
216.5 IPS |
|
|
Object Detection (HP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (Q)
|
87% |
4304
345.2 IPS |
|
|
Face Detection (SP)
|
100% |
5273
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
5259
62.5 IPS |
|
|
Face Detection (Q)
|
97% |
11416
136.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7145
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7112
54.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
11601
91.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15809
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15557
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30963
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3446
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3447
127.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6402
237.1 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2582
3.45 KIPS |
|
|
Text Classification (Q)
|
91% |
961
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3996
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4076
70.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4017
69.2 IPS |
