Dell Inc. Precision M4600
Geekbench AI Score
600
Single Precision Score
335
Half Precision Score
575
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | jcpenni |
| Upload Date | October 24 2025 07:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2860QM |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision M4600 |
| Motherboard | Dell Inc. 08V9YG |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2860QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (Q)
|
96% |
429
80.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
208
3.37 IPS |
|
|
Image Segmentation (Q)
|
97% |
438
7.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
763
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
612
0.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
811
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.8 IPS |
|
|
Object Detection (Q)
|
58% |
306
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
962
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
417
4.96 IPS |
|
|
Face Detection (Q)
|
96% |
967
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1035
7.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
493
3.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
962
7.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1920
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1575
2.03 IPS |
|
|
Style Transfer (Q)
|
87% |
1752
2.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
362
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
485
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.2 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.2 IPS |
|
|
Text Classification (Q)
|
97% |
197
263.7 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.88 IPS |
|
|
Machine Translation (HP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (Q)
|
68% |
553
10.7 IPS |
