AZW GTi14
Geekbench ML Score
12621
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 05 2024 12:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTi14 |
| Motherboard | AZW GTi14 |
| Power Plan | High performance |
| 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 |
| L1 Instruction Cache | 64.0 KB x 22 |
| L1 Data Cache | 32.0 KB x 22 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5453
1.02 KIPS |
|
|
Image Classification (F16)
|
100% |
5507
1.03 KIPS |
|
|
Image Classification (I8)
|
100% |
4439
830.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
7054
117.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7089
118.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
6553
109.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
187949
227.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
187855
227.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
165106
199.9 IPS |
|
|
Object Detection (F32)
|
100% |
4377
326.8 IPS |
|
|
Object Detection (F16)
|
100% |
4417
329.8 IPS |
|
|
Object Detection (I8)
|
56% |
4050
302.4 IPS |
|
|
Face Detection (F32)
|
100% |
17190
204.4 IPS |
|
|
Face Detection (F16)
|
100% |
17023
202.4 IPS |
|
|
Face Detection (I8)
|
89% |
15337
182.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
47349
367.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
47212
366.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
34820
270.0 IPS |
|
|
Style Transfer (F32)
|
100% |
181110
238.2 IPS |
|
|
Style Transfer (F16)
|
100% |
181397
238.6 IPS |
|
|
Style Transfer (I8)
|
98% |
165388
217.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17758
634.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17317
618.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13105
468.0 IPS |
|
|
Text Classification (F32)
|
100% |
1621
2.33 KIPS |
|
|
Text Classification (F16)
|
100% |
1623
2.33 KIPS |
|
|
Text Classification (I8)
|
98% |
864
1.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
1755
32.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1752
32.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1013
18.6 IPS |
