SAPPHIRE Technology Ltd SAPPHIRE EDGE AI 370
Geekbench ML Score
4244
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 08:56 AM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAPPHIRE Technology Ltd SAPPHIRE EDGE AI 370 |
| Motherboard | SAPPHIRE EDGE AI 370 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1824
341.3 IPS |
|
|
Image Classification (F16)
|
100% |
1842
344.6 IPS |
|
|
Image Classification (I8)
|
99% |
4728
884.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1785
29.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1801
30.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3204
53.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8095
9.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
8087
9.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
26524
32.1 IPS |
|
|
Object Detection (F32)
|
100% |
1968
146.9 IPS |
|
|
Object Detection (F16)
|
100% |
1976
147.5 IPS |
|
|
Object Detection (I8)
|
62% |
2233
166.7 IPS |
|
|
Face Detection (F32)
|
100% |
3673
43.7 IPS |
|
|
Face Detection (F16)
|
100% |
3657
43.5 IPS |
|
|
Face Detection (I8)
|
89% |
5738
68.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8048
62.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8001
62.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
18082
140.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18044
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
18119
23.8 IPS |
|
|
Style Transfer (I8)
|
98% |
29811
39.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3144
112.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3009
107.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3998
142.8 IPS |
|
|
Text Classification (F32)
|
100% |
1684
2.42 KIPS |
|
|
Text Classification (F16)
|
100% |
1609
2.31 KIPS |
|
|
Text Classification (I8)
|
98% |
1198
1.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
2603
47.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2731
50.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3629
66.8 IPS |
