Dell Inc. Precision M6800
Geekbench AI Score
788
Single Precision Score
411
Half Precision Score
919
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deslok |
| Upload Date | January 25 2025 11:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4800MQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision M6800 |
| Motherboard | Dell Inc. 0XWC1M |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4800MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.6 IPS |
|
|
Image Classification (Q)
|
96% |
699
130.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
512
8.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
1224
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
1482
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
58% |
508
55.6 IPS |
|
|
Face Detection (SP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (Q)
|
96% |
1576
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1430
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
583
4.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
1622
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2961
3.81 IPS |
|
|
Style Transfer (HP)
|
100% |
2331
3.00 IPS |
|
|
Style Transfer (Q)
|
87% |
3369
4.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
571
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
583
21.6 IPS |
|
|
Text Classification (SP)
|
100% |
432
576.0 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.8 IPS |
|
|
Text Classification (Q)
|
97% |
437
584.9 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (Q)
|
68% |
733
14.2 IPS |
