Notebook P870KM_KM1
Geekbench AI Score
7781
Single Precision Score
7374
Half Precision Score
5680
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 05:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Notebook P870KM_KM1 |
| Motherboard | Notebook P870KM_KM1 |
| Power Plan | Equilibrado |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
2789
518.7 IPS |
|
|
Image Classification (Q)
|
99% |
1782
332.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4568
74.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4442
72.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3848
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
65175
76.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
36689
42.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
51349
60.2 IPS |
|
|
Object Detection (SP)
|
100% |
2777
220.3 IPS |
|
|
Object Detection (HP)
|
100% |
3935
312.1 IPS |
|
|
Object Detection (Q)
|
84% |
2414
194.7 IPS |
|
|
Face Detection (SP)
|
100% |
5904
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
8380
99.6 IPS |
|
|
Face Detection (Q)
|
97% |
5138
61.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19517
150.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17322
133.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14984
119.8 IPS |
|
|
Style Transfer (SP)
|
100% |
103272
132.8 IPS |
|
|
Style Transfer (HP)
|
100% |
59048
75.9 IPS |
|
|
Style Transfer (Q)
|
98% |
78836
101.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17028
628.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13510
498.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9865
365.3 IPS |
|
|
Text Classification (SP)
|
100% |
1359
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (Q)
|
97% |
644
862.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1784
30.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1729
29.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1067
20.0 IPS |
