AZW GTi14
Geekbench ML Score
19835
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 05 2024 02:00 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% |
10986
2.06 KIPS |
|
|
Image Classification (F16)
|
100% |
10445
1.95 KIPS |
|
|
Image Classification (I8)
|
100% |
9233
1.73 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11935
199.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
12109
202.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
10992
183.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
251276
304.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
244231
295.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
209363
253.5 IPS |
|
|
Object Detection (F32)
|
100% |
4829
360.5 IPS |
|
|
Object Detection (F16)
|
100% |
4818
359.7 IPS |
|
|
Object Detection (I8)
|
56% |
4345
324.4 IPS |
|
|
Face Detection (F32)
|
100% |
32452
385.9 IPS |
|
|
Face Detection (F16)
|
100% |
32585
387.4 IPS |
|
|
Face Detection (I8)
|
89% |
28737
341.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
65560
508.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
66182
513.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
55154
427.7 IPS |
|
|
Style Transfer (F32)
|
100% |
206198
271.2 IPS |
|
|
Style Transfer (F16)
|
100% |
209999
276.2 IPS |
|
|
Style Transfer (I8)
|
98% |
189465
249.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22282
795.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22364
798.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18068
645.3 IPS |
|
|
Text Classification (F32)
|
100% |
3524
5.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3494
5.02 KIPS |
|
|
Text Classification (I8)
|
98% |
2206
3.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
3435
63.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3429
63.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2230
41.0 IPS |
