Notebook W65KJ1_KK1
Geekbench AI Score
494
Single Precision Score
306
Half Precision Score
413
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 02:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| 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% |
254
47.3 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.1 IPS |
|
|
Image Classification (Q)
|
99% |
237
44.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
347
5.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
889
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
514
0.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
841
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
89% |
242
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
580
6.89 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.33 IPS |
|
|
Face Detection (Q)
|
97% |
493
5.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
895
6.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
542
4.19 IPS |
|
|
Depth Estimation (Q)
|
75% |
786
6.35 IPS |
|
|
Style Transfer (SP)
|
100% |
1729
2.22 IPS |
|
|
Style Transfer (HP)
|
100% |
1384
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
1695
2.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
439
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.3 IPS |
|
|
Text Classification (HP)
|
100% |
137
183.5 IPS |
|
|
Text Classification (Q)
|
97% |
173
231.9 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (HP)
|
96% |
231
4.00 IPS |
|
|
Machine Translation (Q)
|
60% |
177
3.94 IPS |
