HP EliteDesk 800 G5 SFF HP HP EliteDesk 800 G5 SFF
Geekbench AI Score
3583
Single Precision Score
3594
Half Precision Score
4838
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | almaspite |
| Upload Date | January 08 2026 08:19 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz |
| 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% |
2307
429.1 IPS |
|
|
Image Classification (HP)
|
100% |
2303
428.2 IPS |
|
|
Image Classification (Q)
|
100% |
3292
612.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3207
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4437
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4404
5.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
7709
9.04 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (Q)
|
87% |
3429
275.1 IPS |
|
|
Face Detection (SP)
|
100% |
3895
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
4042
48.0 IPS |
|
|
Face Detection (Q)
|
97% |
7999
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5752
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5844
45.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
9264
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13367
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13700
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25340
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2801
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2819
104.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5235
193.9 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (Q)
|
91% |
817
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3232
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3226
55.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3136
54.0 IPS |
