LENOVO 90T1007CES
Geekbench AI Score
2654
Single Precision Score
1276
Half Precision Score
5296
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | svenrieke |
| Upload Date | June 29 2025 03:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90T1007CES |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.1 IPS |
|
|
Image Classification (Q)
|
99% |
5044
940.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2649
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3642
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3136
3.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
14485
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1908
151.4 IPS |
|
|
Object Detection (HP)
|
100% |
632
50.2 IPS |
|
|
Object Detection (Q)
|
86% |
4688
376.8 IPS |
|
|
Face Detection (SP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
1431
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
6746
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5157
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1668
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11056
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8349
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7370
9.47 IPS |
|
|
Style Transfer (Q)
|
98% |
15299
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3272
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
1583
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1588
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3227
64.9 IPS |
