LENOVO 90V7003NUS
Geekbench AI Score
5386
Single Precision Score
1825
Half Precision Score
8816
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 1BadVan |
| Upload Date | June 12 2025 04:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90V7003NUS |
| Motherboard | LENOVO 376A |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4211
783.1 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (Q)
|
99% |
7561
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4354
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9261
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5189
6.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
31296
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
4027
319.5 IPS |
|
|
Object Detection (HP)
|
100% |
856
67.9 IPS |
|
|
Object Detection (Q)
|
86% |
7969
640.4 IPS |
|
|
Face Detection (SP)
|
100% |
11366
135.1 IPS |
|
|
Face Detection (HP)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
12319
146.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11901
91.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2475
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19185
153.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21913
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12290
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30464
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3782
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2430
89.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5771
213.7 IPS |
|
|
Text Classification (SP)
|
100% |
1911
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
862
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1979
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2620
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4205
84.5 IPS |
