HP HP ProDesk 600 G6 Desktop Mini
Geekbench AI Score
1617
Single Precision Score
808
Half Precision Score
2185
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jobieh |
| Upload Date | July 02 2025 07:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10300T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP ProDesk 600 G6 Desktop Mini |
| Motherboard | HP 8715 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10300T |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
96% |
1837
343.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
1348
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2536
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2028
2.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
4420
5.23 IPS |
|
|
Object Detection (SP)
|
100% |
1156
91.7 IPS |
|
|
Object Detection (HP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (Q)
|
58% |
1312
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (Q)
|
96% |
3387
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3096
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1211
9.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
4261
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5872
7.55 IPS |
|
|
Style Transfer (HP)
|
100% |
4687
6.03 IPS |
|
|
Style Transfer (Q)
|
87% |
7180
9.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1518
56.2 IPS |
|
|
Text Classification (SP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
502
669.5 IPS |
|
|
Text Classification (Q)
|
97% |
874
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.54 IPS |
|
|
Machine Translation (Q)
|
68% |
1260
24.4 IPS |
