System Manufacturer NUC14SRK-B
Geekbench AI Score
2989
Single Precision Score
7120
Half Precision Score
11054
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 06:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System Manufacturer NUC14SRK-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14SRB-B |
| Power Plan | Ausbalanciert |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1636
304.3 IPS |
|
|
Image Classification (HP)
|
100% |
5454
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7428
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2976
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5030
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
29294
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
62367
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (HP)
|
100% |
4299
341.0 IPS |
|
|
Object Detection (Q)
|
89% |
7488
599.7 IPS |
|
|
Face Detection (SP)
|
100% |
5460
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
11281
134.0 IPS |
|
|
Face Detection (Q)
|
100% |
22406
266.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5569
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14655
112.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
29099
226.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14148
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43575
56.0 IPS |
|
|
Style Transfer (Q)
|
98% |
77400
99.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10972
405.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18003
666.7 IPS |
|
|
Text Classification (SP)
|
100% |
690
921.6 IPS |
|
|
Text Classification (HP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1166
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2121
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2493
42.9 IPS |
