ASUSTeK COMPUTER INC. NUC14RVS-B
Geekbench AI Score
3204
Single Precision Score
1351
Half Precision Score
4100
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sauria |
| Upload Date | September 10 2024 04:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVS-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (Q)
|
99% |
3427
639.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2816
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6304
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
4088
4.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
22735
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
2045
162.2 IPS |
|
|
Object Detection (HP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (Q)
|
88% |
1874
150.2 IPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
4091
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6954
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1910
14.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
8192
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14590
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9988
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20847
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2570
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1852
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3995
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
1596
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
626
835.7 IPS |
|
|
Text Classification (Q)
|
97% |
522
698.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2243
50.0 IPS |
