AZW GTi14
Geekbench AI Score
30378
Single Precision Score
35545
Half Precision Score
25153
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 08:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
12939
2.41 KIPS |
|
|
Image Classification (HP)
|
100% |
13307
2.47 KIPS |
|
|
Image Classification (Q)
|
99% |
11211
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16069
260.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15218
246.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14997
243.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
263192
307.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
459891
536.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
242138
283.6 IPS |
|
|
Object Detection (SP)
|
100% |
14865
1.18 KIPS |
|
|
Object Detection (HP)
|
99% |
15642
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
13431
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
40139
476.9 IPS |
|
|
Face Detection (HP)
|
100% |
43615
518.2 IPS |
|
|
Face Detection (Q)
|
97% |
35763
426.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
73175
563.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94432
727.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
60580
485.5 IPS |
|
|
Style Transfer (SP)
|
100% |
412202
529.9 IPS |
|
|
Style Transfer (HP)
|
100% |
621469
798.9 IPS |
|
|
Style Transfer (Q)
|
98% |
370231
477.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43980
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57001
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36939
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
4221
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4081
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2672
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3661
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2342
43.9 IPS |
