Notebook W65KJ1_KK1
Geekbench AI Score
1406
Single Precision Score
772
Half Precision Score
1536
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 02:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6600T |
| 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% |
861
160.1 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.1 IPS |
|
|
Image Classification (Q)
|
96% |
1228
229.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.58 IPS |
|
|
Image Segmentation (Q)
|
97% |
972
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2427
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1900
2.22 IPS |
|
|
Pose Estimation (Q)
|
87% |
4081
4.82 IPS |
|
|
Object Detection (SP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
86% |
909
73.1 IPS |
|
|
Face Detection (SP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
822
9.77 IPS |
|
|
Face Detection (Q)
|
96% |
2044
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2681
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1133
8.73 IPS |
|
|
Depth Estimation (Q)
|
77% |
2447
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5753
7.40 IPS |
|
|
Style Transfer (HP)
|
100% |
4531
5.82 IPS |
|
|
Style Transfer (Q)
|
87% |
7122
9.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
945
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1471
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
454
606.5 IPS |
|
|
Text Classification (Q)
|
97% |
323
432.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.71 IPS |
|
|
Machine Translation (Q)
|
60% |
976
21.8 IPS |
