Dell Inc. Precision M4800
Geekbench AI Score
863
Single Precision Score
851
Half Precision Score
580
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | janushk |
| Upload Date | December 02 2025 06:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-4800MQ |
| 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% |
644
119.8 IPS |
|
|
Image Classification (HP)
|
100% |
634
117.9 IPS |
|
|
Image Classification (Q)
|
99% |
390
72.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
427
6.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
1053
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1031
1.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
969
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (HP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (Q)
|
85% |
431
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
909
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1007
7.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
977
7.53 IPS |
|
|
Depth Estimation (Q)
|
63% |
783
7.35 IPS |
|
|
Style Transfer (SP)
|
100% |
1369
1.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1374
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1982
2.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
554
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
533
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (Q)
|
92% |
301
403.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
58% |
277
6.50 IPS |
