Hewlett-Packard p6-2114
Geekbench AI Score
6783
Single Precision Score
6782
Half Precision Score
5201
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | PaulDoyle |
| Upload Date | March 08 2025 01:30 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard p6-2114 |
| Motherboard | PEGATRON CORPORATION 2AC2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1861
346.1 IPS |
|
|
Image Classification (HP)
|
100% |
2941
546.9 IPS |
|
|
Image Classification (Q)
|
100% |
1684
313.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3960
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3803
61.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3386
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
50462
58.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
27686
32.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
41138
48.2 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
3676
291.6 IPS |
|
|
Object Detection (Q)
|
84% |
2155
173.8 IPS |
|
|
Face Detection (SP)
|
100% |
4781
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
6927
82.3 IPS |
|
|
Face Detection (Q)
|
97% |
4292
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16602
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15547
120.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12871
103.2 IPS |
|
|
Style Transfer (SP)
|
100% |
82051
105.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48315
62.1 IPS |
|
|
Style Transfer (Q)
|
98% |
64853
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14008
517.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11133
411.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9110
337.3 IPS |
|
|
Text Classification (SP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1769
2.36 KIPS |
|
|
Text Classification (Q)
|
97% |
854
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1815
31.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1765
30.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1028
19.3 IPS |
