Hewlett-Packard HP ProDesk 600 G1 SFF
Geekbench AI Score
1644
Single Precision Score
1716
Half Precision Score
1319
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | langa |
| Upload Date | September 23 2025 08:50 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon HD 7700 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP ProDesk 600 G1 SFF |
| Motherboard | Hewlett-Packard 18E7 |
| Power Plan | High performance |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
637
118.4 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.7 IPS |
|
|
Image Classification (Q)
|
100% |
590
109.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1013
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
824
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4596
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
4611
5.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
4305
5.04 IPS |
|
|
Object Detection (SP)
|
100% |
787
62.5 IPS |
|
|
Object Detection (HP)
|
100% |
831
65.9 IPS |
|
|
Object Detection (Q)
|
86% |
710
57.1 IPS |
|
|
Face Detection (SP)
|
100% |
1520
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1349
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2885
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2983
23.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
2489
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8684
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8757
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7869
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2166
80.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1720
63.7 IPS |
|
|
Text Classification (SP)
|
100% |
689
919.8 IPS |
|
|
Text Classification (HP)
|
100% |
719
960.2 IPS |
|
|
Text Classification (Q)
|
97% |
437
586.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1190
20.6 IPS |
|
|
Machine Translation (Q)
|
70% |
542
10.2 IPS |
