HP HP EliteDesk 800 G4 TWR
Geekbench AI Score
1772
Single Precision Score
2548
Half Precision Score
2426
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | October 19 2024 04:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G4 TWR |
| Motherboard | HP 83E0 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1113
207.0 IPS |
|
|
Image Classification (HP)
|
100% |
1702
316.5 IPS |
|
|
Image Classification (Q)
|
100% |
1552
288.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2155
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2819
3.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
2583
3.02 IPS |
|
|
Pose Estimation (Q)
|
97% |
3860
4.52 IPS |
|
|
Object Detection (SP)
|
100% |
1080
85.6 IPS |
|
|
Object Detection (HP)
|
99% |
1744
138.7 IPS |
|
|
Object Detection (Q)
|
88% |
1621
130.0 IPS |
|
|
Face Detection (SP)
|
100% |
2992
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5155
61.3 IPS |
|
|
Face Detection (Q)
|
97% |
4617
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3280
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5535
42.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
5024
39.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7898
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10507
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9471
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1358
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2403
88.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2281
84.5 IPS |
|
|
Text Classification (SP)
|
71% |
750
1.08 KIPS |
|
|
Text Classification (HP)
|
71% |
854
1.23 KIPS |
|
|
Text Classification (Q)
|
92% |
643
863.3 IPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
97% |
1070
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1050
18.1 IPS |
