LENOVO 30AH001GMT
Geekbench AI Score
1311
Single Precision Score
719
Half Precision Score
1617
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jermu695 |
| Upload Date | August 03 2025 01:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4790 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30AH001GMT |
| Motherboard | LENOVO SHARKBAY |
| Power Plan | Paras suoritusteho |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
884
164.5 IPS |
|
|
Image Classification (HP)
|
100% |
271
50.4 IPS |
|
|
Image Classification (Q)
|
96% |
1101
205.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
472
7.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
1288
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2219
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1892
2.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
2368
2.80 IPS |
|
|
Object Detection (SP)
|
100% |
883
70.0 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.3 IPS |
|
|
Object Detection (Q)
|
58% |
886
96.8 IPS |
|
|
Face Detection (SP)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
705
8.38 IPS |
|
|
Face Detection (Q)
|
96% |
2481
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2641
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1034
7.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
2821
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5285
6.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4080
5.24 IPS |
|
|
Style Transfer (Q)
|
87% |
5033
6.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
949
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
863
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1352
50.1 IPS |
|
|
Text Classification (SP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
500
668.0 IPS |
|
|
Text Classification (Q)
|
97% |
749
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (Q)
|
68% |
1157
22.4 IPS |
