System manufacturer System Product Name
Geekbench AI Score
2822
Single Precision Score
2820
Half Precision Score
3888
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 22 2025 08:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7600 CPU @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS IX HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1639
304.8 IPS |
|
|
Image Classification (HP)
|
100% |
1637
304.5 IPS |
|
|
Image Classification (Q)
|
100% |
2537
471.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1866
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2917
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3355
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3355
3.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
6100
7.15 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
100% |
1633
129.5 IPS |
|
|
Object Detection (Q)
|
87% |
2575
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
4068
48.3 IPS |
|
|
Face Detection (Q)
|
97% |
6798
81.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4288
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4301
33.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
6941
54.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9464
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9431
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17480
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2024
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3597
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
1961
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1936
2.58 KIPS |
|
|
Text Classification (Q)
|
91% |
783
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2961
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2944
50.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2924
50.4 IPS |
