LENOVO 20EQS12Q02
Geekbench AI Score
1569
Single Precision Score
1525
Half Precision Score
1178
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | somata |
| Upload Date | August 17 2024 09:51 PM |
| Views | 10 |
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% |
616
114.6 IPS |
|
|
Image Classification (HP)
|
100% |
605
112.6 IPS |
|
|
Image Classification (Q)
|
100% |
542
100.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
893
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
749
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4969
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4816
5.62 IPS |
|
|
Pose Estimation (Q)
|
97% |
4489
5.26 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (Q)
|
89% |
657
52.6 IPS |
|
|
Face Detection (SP)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
1052
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2911
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2833
21.8 IPS |
|
|
Depth Estimation (Q)
|
71% |
2264
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8384
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8328
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
7546
9.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2460
90.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2323
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1802
66.7 IPS |
|
|
Text Classification (SP)
|
100% |
495
661.0 IPS |
|
|
Text Classification (HP)
|
100% |
475
633.8 IPS |
|
|
Text Classification (Q)
|
97% |
343
459.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
96% |
989
17.1 IPS |
|
|
Machine Translation (Q)
|
59% |
390
9.04 IPS |
