HP HP ProDesk 600 G5 SFF
Geekbench AI Score
1443
Single Precision Score
425
Half Precision Score
1550
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | oguogu |
| Upload Date | August 23 2024 02:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-9100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProDesk 600 G5 SFF |
| Motherboard | HP 8597 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-9100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
870
161.9 IPS |
|
|
Image Classification (HP)
|
100% |
85
15.8 IPS |
|
|
Image Classification (Q)
|
97% |
1290
240.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
1005
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2654
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2089
2.44 IPS |
|
|
Pose Estimation (Q)
|
87% |
4508
5.32 IPS |
|
|
Object Detection (SP)
|
100% |
892
70.8 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.16 IPS |
|
|
Object Detection (Q)
|
86% |
852
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
1343
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
174
2.06 IPS |
|
|
Face Detection (Q)
|
96% |
2037
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2804
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
521
4.01 IPS |
|
|
Depth Estimation (Q)
|
76% |
2340
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6135
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
4665
6.00 IPS |
|
|
Style Transfer (Q)
|
87% |
7365
9.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1540
57.1 IPS |
|
|
Text Classification (SP)
|
100% |
1015
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
448
597.4 IPS |
|
|
Text Classification (Q)
|
97% |
314
420.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.86 IPS |
|
|
Machine Translation (Q)
|
60% |
947
21.1 IPS |
