SAPPHIRE Technology Ltd SAPPHIRE EDGE AI 370
Geekbench ML Score
6500
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 09:18 AM |
| Views | 9 |
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 | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2761
516.6 IPS |
|
|
Image Classification (F16)
|
100% |
2874
537.8 IPS |
|
|
Image Classification (I8)
|
100% |
1742
326.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
3352
56.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3827
63.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3154
52.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
42654
51.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
43870
53.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
32069
38.8 IPS |
|
|
Object Detection (F32)
|
100% |
1706
127.4 IPS |
|
|
Object Detection (F16)
|
100% |
1608
120.0 IPS |
|
|
Object Detection (I8)
|
62% |
1787
133.4 IPS |
|
|
Face Detection (F32)
|
100% |
5506
65.5 IPS |
|
|
Face Detection (F16)
|
100% |
5486
65.2 IPS |
|
|
Face Detection (I8)
|
89% |
4296
51.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
18076
140.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
16977
131.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
13287
103.0 IPS |
|
|
Style Transfer (F32)
|
100% |
67809
89.2 IPS |
|
|
Style Transfer (F16)
|
100% |
61639
81.1 IPS |
|
|
Style Transfer (I8)
|
98% |
50113
65.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11438
408.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11137
397.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7415
264.8 IPS |
|
|
Text Classification (F32)
|
100% |
2401
3.45 KIPS |
|
|
Text Classification (F16)
|
100% |
2923
4.20 KIPS |
|
|
Text Classification (I8)
|
98% |
1992
2.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
2548
46.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2540
46.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1570
28.9 IPS |
