Simply NUC NUC13OXv9
Geekbench AI Score
2637
Single Precision Score
1147
Half Precision Score
3896
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jose3219 |
| Upload Date | September 16 2024 02:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Simply NUC NUC13OXv9 |
| Motherboard | Simply NUC NUC13OXv9B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1534
285.3 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
99% |
3086
575.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2728
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5196
6.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3406
3.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
16973
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1711
135.7 IPS |
|
|
Object Detection (HP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (Q)
|
88% |
1531
122.7 IPS |
|
|
Face Detection (SP)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
1184
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
3385
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5413
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1628
12.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
6490
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11918
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8512
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17688
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2284
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3277
121.3 IPS |
|
|
Text Classification (SP)
|
100% |
1254
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
534
713.0 IPS |
|
|
Text Classification (Q)
|
97% |
1478
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
60% |
1959
43.7 IPS |
