LENOVO 20EQS12Q02
Geekbench AI Score
1727
Single Precision Score
1677
Half Precision Score
1217
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | somata |
| Upload Date | August 18 2024 05:43 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro M1000M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20EQS12Q02 |
| Motherboard | LENOVO 20EQS12Q02 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
628
116.7 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.4 IPS |
|
|
Image Classification (Q)
|
100% |
519
96.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
910
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
755
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5337
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
5162
6.02 IPS |
|
|
Pose Estimation (Q)
|
97% |
4834
5.66 IPS |
|
|
Object Detection (SP)
|
100% |
796
63.2 IPS |
|
|
Object Detection (HP)
|
100% |
790
62.7 IPS |
|
|
Object Detection (Q)
|
89% |
660
52.9 IPS |
|
|
Face Detection (SP)
|
100% |
1342
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1055
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3073
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2992
23.1 IPS |
|
|
Depth Estimation (Q)
|
71% |
2365
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9081
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9059
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8142
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2695
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2489
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1888
69.9 IPS |
|
|
Text Classification (SP)
|
100% |
744
993.7 IPS |
|
|
Text Classification (HP)
|
100% |
712
949.9 IPS |
|
|
Text Classification (Q)
|
97% |
366
489.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1213
21.0 IPS |
|
|
Machine Translation (Q)
|
59% |
408
9.46 IPS |
