System manufacturer System Product Name
Geekbench AI Score
2439
Single Precision Score
2443
Half Precision Score
3327
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 20 2025 05:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-6500 CPU @ 3.20GHz |
| 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 i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
1415
263.1 IPS |
|
|
Image Classification (Q)
|
100% |
2143
398.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2505
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2866
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2859
3.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
5196
6.09 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (Q)
|
87% |
2221
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
3617
43.0 IPS |
|
|
Face Detection (Q)
|
97% |
5784
69.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3632
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3664
28.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
5927
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8062
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8057
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14861
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1745
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3005
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
1674
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1690
2.26 KIPS |
|
|
Text Classification (Q)
|
91% |
678
910.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2602
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2599
44.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2588
44.6 IPS |
