NEC PC-GN247GGAY
Geekbench AI Score
2328
Single Precision Score
972
Half Precision Score
4462
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | benchanuk |
| Upload Date | July 07 2025 01:59 PM |
| Views | 7 |
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% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.2 IPS |
|
|
Image Classification (Q)
|
99% |
3446
642.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
5819
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3960
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2714
3.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
13157
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1797
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (Q)
|
86% |
3874
311.3 IPS |
|
|
Face Detection (SP)
|
100% |
5192
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
5400
64.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4465
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1338
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8852
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9525
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6624
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
15855
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1671
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1247
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2768
102.5 IPS |
|
|
Text Classification (SP)
|
100% |
962
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
412
549.7 IPS |
|
|
Text Classification (Q)
|
97% |
919
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (Q)
|
65% |
1591
32.0 IPS |
