AZW GTi14
Geekbench AI Score
7678
Single Precision Score
11842
Half Precision Score
17860
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 02:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | AZW GTi14 |
| Motherboard | AZW GTi14 |
| 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 | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5440
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
8009
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
9550
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4456
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11326
183.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17031
276.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23304
27.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
19579
22.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
65040
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
4922
390.4 IPS |
|
|
Object Detection (HP)
|
100% |
8231
652.9 IPS |
|
|
Object Detection (Q)
|
88% |
11951
957.7 IPS |
|
|
Face Detection (SP)
|
100% |
8732
103.7 IPS |
|
|
Face Detection (HP)
|
100% |
17055
202.7 IPS |
|
|
Face Detection (Q)
|
100% |
27798
330.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17639
135.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
30967
239.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
34610
269.0 IPS |
|
|
Style Transfer (SP)
|
100% |
49247
63.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63802
82.0 IPS |
|
|
Style Transfer (Q)
|
98% |
151227
195.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8350
308.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14459
533.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20919
774.7 IPS |
|
|
Text Classification (SP)
|
71% |
1592
2.30 KIPS |
|
|
Text Classification (HP)
|
71% |
2242
3.24 KIPS |
|
|
Text Classification (Q)
|
92% |
2506
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2540
43.8 IPS |
|
|
Machine Translation (HP)
|
96% |
3397
58.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3425
59.0 IPS |
