SAPPHIRE Technology Ltd SAPPHIRE EDGE AI 370
Geekbench AI Score
4201
Single Precision Score
1991
Half Precision Score
7874
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 09:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3391
630.6 IPS |
|
|
Image Classification (HP)
|
100% |
778
144.7 IPS |
|
|
Image Classification (Q)
|
99% |
7662
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10793
175.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8204
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
6508
7.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
26590
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
3435
272.5 IPS |
|
|
Object Detection (HP)
|
100% |
927
73.5 IPS |
|
|
Object Detection (Q)
|
86% |
8072
648.7 IPS |
|
|
Face Detection (SP)
|
100% |
6909
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
2005
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
11243
134.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9567
73.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2640
20.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17731
141.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18844
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16053
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33634
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2506
92.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1448
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
1646
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1505
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2405
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3535
71.0 IPS |
