AZW GTi14
Geekbench ML Score
3135
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 04 2024 12:01 PM |
| Views | 2 |
System Information
| 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 |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| 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 | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1468
274.7 IPS |
|
|
Image Classification (F16)
|
100% |
1471
275.2 IPS |
|
|
Image Classification (I8)
|
100% |
1293
242.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1551
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1554
26.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1336
22.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
12867
15.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
12884
15.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11298
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
1391
103.9 IPS |
|
|
Object Detection (F16)
|
100% |
1396
104.2 IPS |
|
|
Object Detection (I8)
|
54% |
1059
79.1 IPS |
|
|
Face Detection (F32)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (I8)
|
89% |
982
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8142
63.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8163
63.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
6718
52.1 IPS |
|
|
Style Transfer (F32)
|
100% |
42600
56.0 IPS |
|
|
Style Transfer (F16)
|
100% |
42825
56.3 IPS |
|
|
Style Transfer (I8)
|
98% |
31368
41.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8171
291.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8129
290.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5375
191.9 IPS |
|
|
Text Classification (F32)
|
90% |
840
1.21 KIPS |
|
|
Text Classification (F16)
|
90% |
841
1.21 KIPS |
|
|
Text Classification (I8)
|
90% |
621
892.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2137
39.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2129
39.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1068
19.6 IPS |
