NEC PC-GN247GGAY
Geekbench AI Score
3235
Single Precision Score
3205
Half Precision Score
1981
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | benchanuk |
| Upload Date | July 07 2025 01:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
1480
275.2 IPS |
|
|
Image Classification (Q)
|
100% |
1148
213.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2629
42.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1550
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12396
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12737
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
6598
7.73 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
98% |
1203
95.8 IPS |
|
|
Object Detection (Q)
|
86% |
1196
96.1 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3963
47.1 IPS |
|
|
Face Detection (Q)
|
97% |
2336
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6486
50.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6976
53.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
4434
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28264
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36281
46.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17729
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5084
187.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1603
59.3 IPS |
|
|
Text Classification (SP)
|
100% |
938
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
440
587.2 IPS |
|
|
Text Classification (Q)
|
97% |
496
664.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.8 IPS |
|
|
Machine Translation (Q)
|
70% |
456
8.56 IPS |
