LENOVO 90SV006NMZ
Geekbench AI Score
3438
Single Precision Score
1398
Half Precision Score
4151
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 03:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90SV006NMZ |
| Motherboard | LENOVO 3753 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2154
400.6 IPS |
|
|
Image Classification (HP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (Q)
|
99% |
3451
643.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2823
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6995
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4038
4.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
22720
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
2228
176.7 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (Q)
|
88% |
2154
172.6 IPS |
|
|
Face Detection (SP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
1288
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
4209
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7358
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1938
14.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
7731
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15352
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10121
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18478
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3013
111.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1951
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4753
176.0 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
736
981.7 IPS |
|
|
Text Classification (Q)
|
97% |
579
775.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1929
43.0 IPS |
