Notebook P7xxDM2(-G)
Geekbench AI Score
5093
Single Precision Score
5059
Half Precision Score
3888
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 04:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Notebook P7xxDM2(-G) |
| Motherboard | Notebook P7xxDM2(-G) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1196
222.4 IPS |
|
|
Image Classification (HP)
|
100% |
2133
396.7 IPS |
|
|
Image Classification (Q)
|
99% |
1103
205.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3658
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3222
52.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2939
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
30007
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16595
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
24268
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
1760
139.6 IPS |
|
|
Object Detection (HP)
|
100% |
2809
222.8 IPS |
|
|
Object Detection (Q)
|
83% |
1548
125.1 IPS |
|
|
Face Detection (SP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
5195
61.7 IPS |
|
|
Face Detection (Q)
|
97% |
3162
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11223
86.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9903
76.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8975
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
51562
66.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31038
39.9 IPS |
|
|
Style Transfer (Q)
|
98% |
41520
53.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9949
367.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7430
274.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6636
245.7 IPS |
|
|
Text Classification (SP)
|
100% |
1030
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1235
1.65 KIPS |
|
|
Text Classification (Q)
|
97% |
706
946.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2344
40.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1177
22.1 IPS |
