Hewlett-Packard HP ProDesk 600 G1 SFF
Geekbench AI Score
1799
Single Precision Score
1877
Half Precision Score
1447
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | langa |
| Upload Date | December 09 2025 09:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon HD 7700 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | Hewlett-Packard HP ProDesk 600 G1 SFF |
| Motherboard | Hewlett-Packard 18E7 |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4570 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
695
129.2 IPS |
|
|
Image Classification (HP)
|
100% |
745
138.5 IPS |
|
|
Image Classification (Q)
|
100% |
646
120.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
914
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5103
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5124
5.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
4775
5.59 IPS |
|
|
Object Detection (SP)
|
100% |
866
68.7 IPS |
|
|
Object Detection (HP)
|
100% |
915
72.6 IPS |
|
|
Object Detection (Q)
|
86% |
779
62.7 IPS |
|
|
Face Detection (SP)
|
100% |
1681
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1819
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
1487
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3191
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3299
25.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
2746
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9633
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9726
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8717
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2386
88.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2508
92.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1900
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.1 IPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
464
621.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1244
21.5 IPS |
|
|
Machine Translation (Q)
|
70% |
584
10.9 IPS |
