LENOVO 90T1007GES
Geekbench AI Score
3563
Single Precision Score
3436
Half Precision Score
8488
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 12:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
2415
449.0 IPS |
|
|
Image Classification (HP)
|
100% |
2142
398.3 IPS |
|
|
Image Classification (Q)
|
100% |
5737
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2678
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2623
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5475
88.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4291
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4097
4.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
15318
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (HP)
|
100% |
2027
160.8 IPS |
|
|
Object Detection (Q)
|
88% |
5557
445.5 IPS |
|
|
Face Detection (SP)
|
100% |
4986
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
4939
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
12832
152.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4879
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5027
38.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
12199
94.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12646
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11881
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
41947
54.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8655
320.5 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
4045
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3174
54.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3159
54.4 IPS |
