System manufacturer System Product Name
Geekbench AI Score
2077
Single Precision Score
2064
Half Precision Score
2791
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 27 2025 09:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-6500T CPU @ 2.50GHz |
| 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 i5-6500T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1206
224.3 IPS |
|
|
Image Classification (HP)
|
100% |
1206
224.3 IPS |
|
|
Image Classification (Q)
|
100% |
1816
337.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2122
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2383
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2387
2.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
4311
5.06 IPS |
|
|
Object Detection (SP)
|
100% |
1206
95.6 IPS |
|
|
Object Detection (HP)
|
100% |
1188
94.3 IPS |
|
|
Object Detection (Q)
|
87% |
1889
151.5 IPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (Q)
|
97% |
4898
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3087
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2990
23.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
4959
39.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6769
8.70 IPS |
|
|
Style Transfer (HP)
|
100% |
6763
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
12377
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1480
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2578
95.5 IPS |
|
|
Text Classification (SP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1397
1.86 KIPS |
|
|
Text Classification (Q)
|
91% |
556
747.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2174
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2129
36.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2123
36.6 IPS |
