AZW GTi14
Geekbench AI Score
7800
Single Precision Score
11915
Half Precision Score
18028
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | akreykenbohm |
| Upload Date | December 17 2024 07:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5513
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
7806
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
9321
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4341
70.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10470
169.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15538
251.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22935
26.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
22546
26.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
68447
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
4897
388.4 IPS |
|
|
Object Detection (HP)
|
100% |
7947
630.4 IPS |
|
|
Object Detection (Q)
|
88% |
11292
904.9 IPS |
|
|
Face Detection (SP)
|
100% |
8712
103.5 IPS |
|
|
Face Detection (HP)
|
100% |
17097
203.2 IPS |
|
|
Face Detection (Q)
|
100% |
29739
353.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18579
143.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
30641
236.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
38087
296.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53050
68.2 IPS |
|
|
Style Transfer (HP)
|
100% |
70520
90.7 IPS |
|
|
Style Transfer (Q)
|
98% |
161768
208.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8648
319.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14171
523.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22713
841.1 IPS |
|
|
Text Classification (SP)
|
71% |
1707
2.47 KIPS |
|
|
Text Classification (HP)
|
71% |
2465
3.57 KIPS |
|
|
Text Classification (Q)
|
92% |
2640
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
96% |
3052
52.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2949
50.8 IPS |
