AZW GTi14
Geekbench AI Score
2887
Single Precision Score
2875
Half Precision Score
6715
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | akreykenbohm |
| Upload Date | December 17 2024 07:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTi14 |
| Motherboard | AZW GTi14 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
1416
263.3 IPS |
|
|
Image Classification (Q)
|
100% |
4257
791.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4461
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3840
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3971
4.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
14711
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1622
128.7 IPS |
|
|
Object Detection (HP)
|
100% |
1433
113.6 IPS |
|
|
Object Detection (Q)
|
88% |
3732
299.1 IPS |
|
|
Face Detection (SP)
|
100% |
4628
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
4696
55.8 IPS |
|
|
Face Detection (Q)
|
100% |
8655
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4367
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4131
31.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
9747
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10929
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11955
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
42608
54.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2259
83.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2284
84.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7413
274.5 IPS |
|
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1806
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
3315
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2205
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2146
37.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2027
34.9 IPS |
