AZW GTi14
Geekbench AI Score
7796
Single Precision Score
12194
Half Precision Score
17982
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 03:13 PM |
| Views | 5 |
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 | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5465
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
8116
1.51 KIPS |
|
|
Image Classification (Q)
|
100% |
9190
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4368
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10552
171.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16062
260.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22299
26.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23280
27.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
67302
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
5031
399.1 IPS |
|
|
Object Detection (HP)
|
100% |
7906
627.1 IPS |
|
|
Object Detection (Q)
|
88% |
10021
803.1 IPS |
|
|
Face Detection (SP)
|
100% |
8237
97.9 IPS |
|
|
Face Detection (HP)
|
100% |
17087
203.0 IPS |
|
|
Face Detection (Q)
|
100% |
29306
348.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18475
142.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
31884
246.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
38653
300.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49492
63.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71209
91.5 IPS |
|
|
Style Transfer (Q)
|
98% |
165895
213.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8634
318.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15207
561.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22805
844.5 IPS |
|
|
Text Classification (SP)
|
71% |
2057
2.98 KIPS |
|
|
Text Classification (HP)
|
71% |
2584
3.74 KIPS |
|
|
Text Classification (Q)
|
92% |
2696
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3026
52.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3074
53.0 IPS |
