HP ProDesk 600 G4 DM (2018) HP HP ProDesk 600 G4 DM
Geekbench AI Score
2116
Single Precision Score
2105
Half Precision Score
3076
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | slimg |
| Upload Date | July 09 2025 04:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8500T CPU @ 2.10GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | HP HP ProDesk 600 G4 DM |
| Motherboard | HP 83EF |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500T |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1314
244.3 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.8 IPS |
|
|
Image Classification (Q)
|
100% |
2120
394.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2447
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2850
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2820
3.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
5241
6.15 IPS |
|
|
Object Detection (SP)
|
100% |
1298
103.0 IPS |
|
|
Object Detection (HP)
|
100% |
1307
103.6 IPS |
|
|
Object Detection (Q)
|
87% |
2190
175.7 IPS |
|
|
Face Detection (SP)
|
100% |
2453
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
2442
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
5427
64.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3317
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3288
25.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
5715
45.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7416
9.53 IPS |
|
|
Style Transfer (HP)
|
100% |
7457
9.59 IPS |
|
|
Style Transfer (Q)
|
98% |
14388
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3044
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
1460
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (Q)
|
91% |
500
672.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1877
32.3 IPS |
