Notebook W65KJ1_KK1
Geekbench AI Score
2122
Single Precision Score
2194
Half Precision Score
1602
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 02:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| 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% |
769
143.0 IPS |
|
|
Image Classification (HP)
|
100% |
770
143.2 IPS |
|
|
Image Classification (Q)
|
100% |
655
121.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1198
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7676
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
7757
9.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
6968
8.16 IPS |
|
|
Object Detection (SP)
|
100% |
1086
86.1 IPS |
|
|
Object Detection (HP)
|
100% |
1128
89.4 IPS |
|
|
Object Detection (Q)
|
89% |
872
69.8 IPS |
|
|
Face Detection (SP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2216
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
1661
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3540
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3598
27.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
2920
23.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15051
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15259
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
13046
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2857
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2941
108.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2175
80.5 IPS |
|
|
Text Classification (SP)
|
100% |
507
676.3 IPS |
|
|
Text Classification (HP)
|
100% |
629
839.3 IPS |
|
|
Text Classification (Q)
|
97% |
375
502.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1175
20.3 IPS |
|
|
Machine Translation (Q)
|
60% |
454
10.1 IPS |
