HP EliteDesk 800 G5 SFF HP HP EliteDesk 800 G5 SFF
Geekbench AI Score
1845
Single Precision Score
2649
Half Precision Score
2519
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | almaspite |
| Upload Date | January 08 2026 08:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteDesk 800 G5 SFF |
| Motherboard | HP 8592 |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1115
207.4 IPS |
|
|
Image Classification (HP)
|
100% |
1721
320.0 IPS |
|
|
Image Classification (Q)
|
100% |
1569
291.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2247
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2807
3.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
2575
3.01 IPS |
|
|
Pose Estimation (Q)
|
97% |
3830
4.49 IPS |
|
|
Object Detection (SP)
|
100% |
1090
86.5 IPS |
|
|
Object Detection (HP)
|
99% |
1767
140.5 IPS |
|
|
Object Detection (Q)
|
88% |
1650
132.4 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
5482
65.1 IPS |
|
|
Face Detection (Q)
|
97% |
4860
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3280
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5571
43.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
4963
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7984
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9672
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9178
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2373
87.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2268
84.0 IPS |
|
|
Text Classification (SP)
|
71% |
731
1.06 KIPS |
|
|
Text Classification (HP)
|
71% |
933
1.35 KIPS |
|
|
Text Classification (Q)
|
92% |
661
888.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1393
24.1 IPS |
