NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
4646
Single Precision Score
6573
Half Precision Score
10029
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 27 2025 02:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC12WSH-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC12WSB-M |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2920
542.9 IPS |
|
|
Image Classification (HP)
|
100% |
4462
829.7 IPS |
|
|
Image Classification (Q)
|
99% |
6033
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4244
68.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7170
116.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8836
143.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10568
12.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
7850
9.16 IPS |
|
|
Pose Estimation (Q)
|
97% |
32312
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
2934
232.7 IPS |
|
|
Object Detection (HP)
|
100% |
4093
324.7 IPS |
|
|
Object Detection (Q)
|
90% |
6693
535.1 IPS |
|
|
Face Detection (SP)
|
100% |
6280
74.6 IPS |
|
|
Face Detection (HP)
|
100% |
10995
130.6 IPS |
|
|
Face Detection (Q)
|
100% |
16517
196.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9613
74.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
15940
123.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
20417
158.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26938
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39175
50.4 IPS |
|
|
Style Transfer (Q)
|
98% |
72068
92.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4466
164.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7022
259.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12508
463.2 IPS |
|
|
Text Classification (SP)
|
71% |
1198
1.73 KIPS |
|
|
Text Classification (HP)
|
71% |
1386
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
1339
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2192
37.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2195
37.9 IPS |
