Hewlett-Packard HP ProDesk 600 G1 SFF
Geekbench AI Score
1648
Single Precision Score
1722
Half Precision Score
1322
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | langa |
| Upload Date | October 08 2025 04:26 PM |
| Views | 11 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
638
118.6 IPS |
|
|
Image Classification (HP)
|
100% |
680
126.5 IPS |
|
|
Image Classification (Q)
|
100% |
589
109.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
827
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4592
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
4618
5.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
4310
5.05 IPS |
|
|
Object Detection (SP)
|
100% |
790
62.7 IPS |
|
|
Object Detection (HP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (Q)
|
86% |
712
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1659
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1355
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2880
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2982
23.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
2487
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8690
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8764
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7873
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2168
80.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1723
63.8 IPS |
|
|
Text Classification (SP)
|
100% |
676
902.0 IPS |
|
|
Text Classification (HP)
|
100% |
706
942.2 IPS |
|
|
Text Classification (Q)
|
97% |
435
582.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1232
21.3 IPS |
|
|
Machine Translation (Q)
|
70% |
550
10.3 IPS |
