LENOVO 81Q4
Geekbench AI Score
838
Single Precision Score
991
Half Precision Score
670
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | August 16 2024 01:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81Q4 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Najwysza wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
336
62.4 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.2 IPS |
|
|
Image Classification (Q)
|
100% |
324
60.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
507
8.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
448
7.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
1966
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (Q)
|
97% |
1884
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (HP)
|
98% |
430
34.2 IPS |
|
|
Object Detection (Q)
|
89% |
367
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
719
8.54 IPS |
|
|
Face Detection (HP)
|
100% |
876
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
595
7.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
1474
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1906
14.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
1276
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5080
6.53 IPS |
|
|
Style Transfer (HP)
|
100% |
7887
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4557
5.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
847
31.4 IPS |
|
|
Text Classification (SP)
|
100% |
478
638.1 IPS |
|
|
Text Classification (HP)
|
100% |
301
402.4 IPS |
|
|
Text Classification (Q)
|
97% |
279
374.0 IPS |
|
|
Machine Translation (SP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (Q)
|
60% |
225
5.01 IPS |
