HP HP EliteDesk 800 G3 SFF
Geekbench AI Score
1984
Single Precision Score
2090
Half Precision Score
3214
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | renansoares |
| Upload Date | October 31 2024 06:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-6500 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G3 SFF |
| Motherboard | HP 8299 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
1296
241.1 IPS |
|
|
Image Classification (Q)
|
100% |
2006
373.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2031
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2617
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2599
3.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
4976
5.84 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (Q)
|
87% |
2025
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
5287
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3408
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3380
26.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
5442
43.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7475
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
7566
9.73 IPS |
|
|
Style Transfer (Q)
|
98% |
13992
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1602
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2932
108.6 IPS |
|
|
Text Classification (SP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (Q)
|
91% |
1153
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2102
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2059
35.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2111
36.4 IPS |
