LENOVO 21MMS0D401
Geekbench AI Score
2082
Single Precision Score
554
Half Precision Score
2964
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21MMS0D401 |
| Motherboard | LENOVO 21MMS0D401 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
134
24.9 IPS |
|
|
Image Classification (Q)
|
99% |
2510
468.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
2040
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3609
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2298
2.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
13130
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
88% |
1345
107.8 IPS |
|
|
Face Detection (SP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
236
2.81 IPS |
|
|
Face Detection (Q)
|
97% |
2903
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4087
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
688
5.30 IPS |
|
|
Depth Estimation (Q)
|
76% |
6174
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8677
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5712
7.34 IPS |
|
|
Style Transfer (Q)
|
98% |
13954
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1130
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3015
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
487
650.3 IPS |
|
|
Text Classification (Q)
|
97% |
472
632.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
60% |
1629
36.3 IPS |
