LENOVO 90T1007GES
Geekbench AI Score
2346
Single Precision Score
1224
Half Precision Score
5587
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 11:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90T1007GES |
| Motherboard | LENOVO 3741 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1659
308.6 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
99% |
4617
861.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5143
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3294
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2768
3.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
13799
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1627
129.1 IPS |
|
|
Object Detection (HP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (Q)
|
86% |
4580
368.1 IPS |
|
|
Face Detection (SP)
|
100% |
3690
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
1313
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
6557
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4183
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1714
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10412
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8249
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6754
8.68 IPS |
|
|
Style Transfer (Q)
|
98% |
14391
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1594
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1359
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4696
173.9 IPS |
|
|
Text Classification (SP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1442
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2972
59.7 IPS |
