HP HP EliteDesk 800 G5 SFF
Geekbench AI Score
4999
Single Precision Score
4971
Half Precision Score
3579
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Graha |
| Upload Date | August 08 2025 07:01 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Tesla P4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G5 SFF |
| Motherboard | HP 8592 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1750
325.5 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.8 IPS |
|
|
Image Classification (Q)
|
100% |
1414
262.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3309
53.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2603
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
25478
29.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23461
27.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
21539
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
2515
199.5 IPS |
|
|
Object Detection (Q)
|
88% |
1818
145.7 IPS |
|
|
Face Detection (SP)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
5107
60.7 IPS |
|
|
Face Detection (Q)
|
97% |
3744
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10996
84.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10598
81.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
8288
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55838
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36629
47.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42410
54.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8485
313.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8357
308.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5507
203.9 IPS |
|
|
Text Classification (SP)
|
100% |
856
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
553
740.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1466
25.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1484
25.7 IPS |
|
|
Machine Translation (Q)
|
60% |
598
13.3 IPS |
