LENOVO 20EQS12Q02
Geekbench AI Score
442
Single Precision Score
301
Half Precision Score
371
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | somata |
| Upload Date | August 18 2024 05:59 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| 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% |
228
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (Q)
|
100% |
212
39.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
227
3.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
312
5.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
828
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
789
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
89% |
232
18.6 IPS |
|
|
Face Detection (SP)
|
100% |
540
6.42 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (Q)
|
97% |
445
5.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
827
6.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
531
4.09 IPS |
|
|
Depth Estimation (Q)
|
74% |
711
5.79 IPS |
|
|
Style Transfer (SP)
|
100% |
1657
2.13 IPS |
|
|
Style Transfer (HP)
|
100% |
1209
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1611
2.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
396
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.3 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.6 IPS |
|
|
Text Classification (Q)
|
97% |
142
189.9 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (HP)
|
96% |
219
3.79 IPS |
|
|
Machine Translation (Q)
|
60% |
145
3.24 IPS |
