HP HP ProDesk 400 G5 SFF
Geekbench AI Score
1768
Single Precision Score
872
Half Precision Score
2045
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 01:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ProDesk 400 G5 SFF |
| Motherboard | HP 83F2 |
| Power Plan | Equilibrado |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1125
209.2 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.7 IPS |
|
|
Image Classification (Q)
|
96% |
1839
343.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
1298
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3305
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2581
3.01 IPS |
|
|
Pose Estimation (Q)
|
87% |
6441
7.61 IPS |
|
|
Object Detection (SP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
86% |
1198
96.3 IPS |
|
|
Face Detection (SP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
833
9.90 IPS |
|
|
Face Detection (Q)
|
96% |
2434
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3486
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1214
9.35 IPS |
|
|
Depth Estimation (Q)
|
77% |
3367
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7826
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5884
7.56 IPS |
|
|
Style Transfer (Q)
|
87% |
9199
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1230
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1926
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
1269
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
504
672.3 IPS |
|
|
Text Classification (Q)
|
97% |
387
517.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (Q)
|
60% |
1237
27.6 IPS |
