Hewlett-Packard p6-2114
Geekbench AI Score
6729
Single Precision Score
6694
Half Precision Score
5200
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | PaulDoyle |
| Upload Date | February 04 2025 08:37 PM |
| Views | 4 |
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% |
1904
354.0 IPS |
|
|
Image Classification (HP)
|
100% |
2986
555.3 IPS |
|
|
Image Classification (Q)
|
100% |
1704
316.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3911
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3772
61.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3386
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
50048
58.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27641
32.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
41190
48.3 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
100% |
3636
288.4 IPS |
|
|
Object Detection (Q)
|
84% |
2144
172.9 IPS |
|
|
Face Detection (SP)
|
100% |
4769
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
6886
81.8 IPS |
|
|
Face Detection (Q)
|
97% |
4265
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16460
126.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15415
119.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12793
102.6 IPS |
|
|
Style Transfer (SP)
|
100% |
81078
104.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48005
61.7 IPS |
|
|
Style Transfer (Q)
|
98% |
64979
83.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13931
514.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11020
406.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9044
334.9 IPS |
|
|
Text Classification (SP)
|
100% |
1327
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1614
2.15 KIPS |
|
|
Text Classification (Q)
|
97% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1797
30.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1763
30.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1026
19.3 IPS |
