ASUSTeK COMPUTER INC. NUC14RVH
Geekbench AI Score
2997
Single Precision Score
3020
Half Precision Score
6869
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 08:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVH |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1422
264.4 IPS |
|
|
Image Classification (HP)
|
100% |
1499
278.8 IPS |
|
|
Image Classification (Q)
|
100% |
3887
722.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4482
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4695
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4716
5.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
16528
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
100% |
1565
124.2 IPS |
|
|
Object Detection (Q)
|
88% |
3895
312.2 IPS |
|
|
Face Detection (SP)
|
100% |
4615
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
4650
55.3 IPS |
|
|
Face Detection (Q)
|
100% |
9086
108.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4962
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4919
37.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11366
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13139
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13474
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
41519
53.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2359
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2363
87.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7419
274.8 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1427
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
2823
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2283
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2294
39.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2325
40.1 IPS |
