OVERPOWERED OP-LP2
Geekbench AI Score
5099
Single Precision Score
5207
Half Precision Score
3882
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | PaulDoyle |
| Upload Date | February 04 2025 10:29 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | OVERPOWERED OP-LP2 |
| Motherboard | OVERPOWERED GK5CN6Z |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1202
223.6 IPS |
|
|
Image Classification (HP)
|
100% |
2048
380.9 IPS |
|
|
Image Classification (Q)
|
99% |
1122
209.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3190
51.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2935
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
30719
35.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17636
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25384
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
2737
217.1 IPS |
|
|
Object Detection (Q)
|
83% |
1579
127.6 IPS |
|
|
Face Detection (SP)
|
100% |
3652
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
5249
62.4 IPS |
|
|
Face Detection (Q)
|
97% |
3235
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11424
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10255
79.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9171
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
52418
67.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32758
42.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42711
55.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10813
399.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7541
278.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6915
256.0 IPS |
|
|
Text Classification (SP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1658
2.21 KIPS |
|
|
Text Classification (Q)
|
97% |
598
801.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2108
36.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1126
21.1 IPS |
