LENOVO 90GKCTO1WW
Geekbench AI Score
1637
Single Precision Score
824
Half Precision Score
1916
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 05:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | LENOVO 90GKCTO1WW |
| Motherboard | LENOVO 3102 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.8 IPS |
|
|
Image Classification (Q)
|
96% |
1800
336.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2635
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2173
2.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
4536
5.36 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (Q)
|
58% |
1198
130.9 IPS |
|
|
Face Detection (SP)
|
100% |
1904
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
804
9.56 IPS |
|
|
Face Detection (Q)
|
96% |
3319
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3237
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1221
9.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
4264
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6163
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
4962
6.38 IPS |
|
|
Style Transfer (Q)
|
87% |
7170
9.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1551
57.5 IPS |
|
|
Text Classification (SP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
499
666.4 IPS |
|
|
Text Classification (Q)
|
97% |
330
442.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (Q)
|
68% |
1278
24.7 IPS |
