AZW GTi14
Geekbench ML Score
3265
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 04 2024 11:58 AM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1679
314.2 IPS |
|
|
Image Classification (F16)
|
100% |
1692
316.7 IPS |
|
|
Image Classification (I8)
|
99% |
3061
572.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1030
17.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1031
17.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2792
46.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5863
7.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
5898
7.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
21449
26.0 IPS |
|
|
Object Detection (F32)
|
100% |
1707
127.4 IPS |
|
|
Object Detection (F16)
|
100% |
1714
127.9 IPS |
|
|
Object Detection (I8)
|
62% |
1603
119.7 IPS |
|
|
Face Detection (F32)
|
100% |
3615
43.0 IPS |
|
|
Face Detection (F16)
|
100% |
3622
43.1 IPS |
|
|
Face Detection (I8)
|
89% |
3961
47.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6544
50.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6515
50.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
12873
99.8 IPS |
|
|
Style Transfer (F32)
|
100% |
14437
19.0 IPS |
|
|
Style Transfer (F16)
|
100% |
14353
18.9 IPS |
|
|
Style Transfer (I8)
|
98% |
19135
25.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2864
102.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2745
98.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4624
165.1 IPS |
|
|
Text Classification (F32)
|
100% |
1199
1.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1203
1.73 KIPS |
|
|
Text Classification (I8)
|
98% |
500
719.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1826
33.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1837
33.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2936
54.0 IPS |
