NEC PC-GN247GGAY
Geekbench AI Score
311
Single Precision Score
104
Half Precision Score
363
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | benchanuk |
| Upload Date | July 07 2025 03:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | NEC PC-GN247GGAY |
| Motherboard | NEC L-NX232 |
| Power Plan | LAVIE |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1824
339.1 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (Q)
|
99% |
3760
701.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26
0.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
87
1.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
309
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
172
0.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
512
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
29
2.34 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
86% |
3261
262.1 IPS |
|
|
Face Detection (SP)
|
100% |
4878
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
1107
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
5664
67.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4002
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51
0.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
144
1.15 IPS |
|
|
Style Transfer (SP)
|
100% |
547
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
495
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
586
0.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45
1.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38
1.41 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
74
2.75 IPS |
|
|
Text Classification (SP)
|
100% |
25
33.4 IPS |
|
|
Text Classification (HP)
|
100% |
11
14.0 IPS |
|
|
Text Classification (Q)
|
97% |
30
40.5 IPS |
|
|
Machine Translation (SP)
|
100% |
48
0.84 IPS |
|
|
Machine Translation (HP)
|
100% |
18
0.31 IPS |
|
|
Machine Translation (Q)
|
65% |
70
1.41 IPS |
