AZW SEi
Geekbench AI Score
2454
Single Precision Score
2570
Half Precision Score
5914
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 06:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12650H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | AZW SEi |
| Motherboard | AZW SEi |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1488
276.7 IPS |
|
|
Image Classification (HP)
|
100% |
1636
304.3 IPS |
|
|
Image Classification (Q)
|
100% |
3712
690.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3671
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3017
3.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
11492
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (Q)
|
88% |
3902
312.8 IPS |
|
|
Face Detection (SP)
|
100% |
3716
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (Q)
|
100% |
8769
104.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4002
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3931
30.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
10653
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8973
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9188
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28645
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1915
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6093
225.6 IPS |
|
|
Text Classification (SP)
|
100% |
1507
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1508
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2387
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2260
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2202
37.9 IPS |
