LENOVO 20MFCTO1WW
Geekbench AI Score
811
Single Precision Score
888
Half Precision Score
649
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | andybeals |
| Upload Date | August 31 2024 04:22 PM |
| Views | 13 |
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 20MFCTO1WW |
| Motherboard | LENOVO 20MFCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.1 IPS |
|
|
Image Classification (Q)
|
100% |
311
57.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
454
7.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
2108
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3242
3.78 IPS |
|
|
Pose Estimation (Q)
|
97% |
1912
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (HP)
|
98% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
89% |
364
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
840
9.98 IPS |
|
|
Face Detection (Q)
|
97% |
613
7.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
1532
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1877
14.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
1312
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5523
7.10 IPS |
|
|
Style Transfer (HP)
|
100% |
8203
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
4770
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
836
30.9 IPS |
|
|
Text Classification (SP)
|
100% |
348
464.9 IPS |
|
|
Text Classification (HP)
|
100% |
240
319.9 IPS |
|
|
Text Classification (Q)
|
97% |
236
315.7 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.05 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.09 IPS |
|
|
Machine Translation (Q)
|
60% |
181
4.03 IPS |
