Dell Inc. Precision M4800
Geekbench AI Score
1869
Single Precision Score
1854
Half Precision Score
2165
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | janushk |
| Upload Date | December 02 2025 06:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4800MQ CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (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 | 23.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1125
209.2 IPS |
|
|
Image Classification (HP)
|
100% |
1147
213.4 IPS |
|
|
Image Classification (Q)
|
100% |
1389
258.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1594
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2310
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2339
2.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
2934
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
1086
86.1 IPS |
|
|
Object Detection (HP)
|
100% |
1004
79.6 IPS |
|
|
Object Detection (Q)
|
87% |
1397
112.0 IPS |
|
|
Face Detection (SP)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2063
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
3837
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2926
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2968
22.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
3607
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6713
8.63 IPS |
|
|
Style Transfer (HP)
|
100% |
6718
8.64 IPS |
|
|
Style Transfer (Q)
|
98% |
8543
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1377
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1781
66.0 IPS |
|
|
Text Classification (SP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1517
2.03 KIPS |
|
|
Text Classification (Q)
|
91% |
670
901.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1771
30.5 IPS |
