HP HP ProDesk 400 G6 SFF
Geekbench AI Score
1674
Single Precision Score
1685
Half Precision Score
1119
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | anthonya1 |
| Upload Date | January 07 2025 03:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-9700 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | HP HP ProDesk 400 G6 SFF |
| Motherboard | HP 859B |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
99% |
799
149.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1986
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1971
2.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
2174
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (Q)
|
85% |
824
66.3 IPS |
|
|
Face Detection (SP)
|
100% |
1945
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
1948
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
1611
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1914
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1902
14.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1570
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2341
3.01 IPS |
|
|
Style Transfer (HP)
|
100% |
2343
3.01 IPS |
|
|
Style Transfer (Q)
|
98% |
4267
5.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1345
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1350
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1221
45.2 IPS |
|
|
Text Classification (SP)
|
100% |
1245
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
474
636.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1964
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1955
33.7 IPS |
|
|
Machine Translation (Q)
|
58% |
414
9.71 IPS |
