LENOVO 80Q0
Geekbench AI Score
437
Single Precision Score
292
Half Precision Score
370
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jakelewis3d |
| Upload Date | December 16 2024 06:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 80Q0 |
| Motherboard | LENOVO Allsparks 7A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (Q)
|
100% |
216
40.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
275
4.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
785
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
460
0.54 IPS |
|
|
Pose Estimation (Q)
|
97% |
753
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.7 IPS |
|
|
Object Detection (Q)
|
86% |
237
19.1 IPS |
|
|
Face Detection (SP)
|
100% |
578
6.86 IPS |
|
|
Face Detection (HP)
|
100% |
389
4.62 IPS |
|
|
Face Detection (Q)
|
97% |
503
6.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
802
6.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.99 IPS |
|
|
Depth Estimation (Q)
|
77% |
713
5.71 IPS |
|
|
Style Transfer (SP)
|
100% |
1594
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1169
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1493
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
377
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.6 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.8 IPS |
|
|
Text Classification (Q)
|
97% |
138
184.6 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.52 IPS |
|
|
Machine Translation (HP)
|
96% |
219
3.79 IPS |
|
|
Machine Translation (Q)
|
70% |
167
3.13 IPS |
