LENOVO 80Q0
Geekbench AI Score
476
Single Precision Score
296
Half Precision Score
374
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jakelewis3d |
| Upload Date | December 16 2024 07:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 960M |
| 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% |
556
103.5 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (Q)
|
100% |
227
42.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
296
4.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
791
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (Q)
|
97% |
755
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
86% |
236
19.0 IPS |
|
|
Face Detection (SP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (HP)
|
100% |
389
4.62 IPS |
|
|
Face Detection (Q)
|
97% |
501
5.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
810
6.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
518
4.00 IPS |
|
|
Depth Estimation (Q)
|
77% |
714
5.72 IPS |
|
|
Style Transfer (SP)
|
100% |
1597
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1169
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1500
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
438
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
379
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
183
244.3 IPS |
|
|
Text Classification (HP)
|
100% |
165
219.9 IPS |
|
|
Text Classification (Q)
|
97% |
133
178.4 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (HP)
|
96% |
219
3.79 IPS |
|
|
Machine Translation (Q)
|
70% |
169
3.18 IPS |
