LENOVO 4243JL6
Geekbench AI Score
397
Single Precision Score
248
Half Precision Score
370
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 18 2024 01:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2630QM |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 4243JL6 |
| Motherboard | LENOVO 4243JL6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2630QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (Q)
|
96% |
308
57.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
278
4.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
578
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (Q)
|
87% |
709
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
90% |
185
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
415
4.93 IPS |
|
|
Face Detection (HP)
|
100% |
269
3.19 IPS |
|
|
Face Detection (Q)
|
96% |
549
6.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
620
4.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
343
2.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
521
4.16 IPS |
|
|
Style Transfer (SP)
|
100% |
1318
1.69 IPS |
|
|
Style Transfer (HP)
|
100% |
1183
1.52 IPS |
|
|
Style Transfer (Q)
|
87% |
1480
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
395
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
356
474.8 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.3 IPS |
|
|
Text Classification (Q)
|
97% |
134
179.4 IPS |
|
|
Machine Translation (SP)
|
100% |
435
7.50 IPS |
|
|
Machine Translation (HP)
|
100% |
147
2.53 IPS |
|
|
Machine Translation (Q)
|
60% |
196
4.36 IPS |
