LENOVO 90S10003US
Geekbench AI Score
3476
Single Precision Score
1544
Half Precision Score
4160
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Midway91 |
| Upload Date | November 08 2024 04:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90S10003US |
| Motherboard | LENOVO 3750 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2080
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.4 IPS |
|
|
Image Classification (Q)
|
99% |
3623
675.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1067
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2772
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7456
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4573
5.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
24602
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (Q)
|
88% |
2096
168.0 IPS |
|
|
Face Detection (SP)
|
100% |
2992
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
1511
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
3755
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8107
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2169
16.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
7758
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17052
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11513
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18621
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3206
118.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4502
166.7 IPS |
|
|
Text Classification (SP)
|
100% |
1743
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
568
761.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1821
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2164
48.3 IPS |
