Dell Inc. Precision M4800
Geekbench AI Score
1065
Single Precision Score
374
Half Precision Score
1151
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | janushk |
| Upload Date | December 12 2024 09:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4800MQ |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Workstation Edition) |
| Model | Dell Inc. Precision M4800 |
| Motherboard | Dell Inc. 0T3YTY |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4800MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
759
141.1 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (Q)
|
93% |
917
171.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
480
7.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
939
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1720
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1529
1.78 IPS |
|
|
Pose Estimation (Q)
|
87% |
2346
2.77 IPS |
|
|
Object Detection (SP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
86% |
458
36.8 IPS |
|
|
Face Detection (SP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (Q)
|
96% |
1304
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1733
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
535
4.12 IPS |
|
|
Depth Estimation (Q)
|
77% |
1793
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3878
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
2716
3.49 IPS |
|
|
Style Transfer (Q)
|
87% |
3933
5.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
716
26.5 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
366
488.4 IPS |
|
|
Text Classification (Q)
|
97% |
765
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (Q)
|
60% |
876
19.5 IPS |
