Notebook W65KJ1_KK1
Geekbench AI Score
1433
Single Precision Score
2062
Half Precision Score
1967
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 02:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 530 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 LTSC (64-bit) |
| Model | Notebook W65KJ1_KK1 |
| Motherboard | Notebook W65KJ1_KK1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
911
169.4 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (Q)
|
100% |
1266
235.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1734
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2342
2.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
2154
2.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
3203
3.75 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.3 IPS |
|
|
Object Detection (HP)
|
99% |
1425
113.3 IPS |
|
|
Object Detection (Q)
|
88% |
1328
106.5 IPS |
|
|
Face Detection (SP)
|
100% |
2531
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4138
49.2 IPS |
|
|
Face Detection (Q)
|
97% |
3735
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2712
20.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4591
35.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
4182
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6552
8.42 IPS |
|
|
Style Transfer (HP)
|
100% |
8771
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7810
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1178
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1865
69.1 IPS |
|
|
Text Classification (SP)
|
71% |
538
778.1 IPS |
|
|
Text Classification (HP)
|
71% |
654
946.4 IPS |
|
|
Text Classification (Q)
|
92% |
497
667.2 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
97% |
825
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
825
14.3 IPS |
