HC Technology.,Ltd HCAR300_MI3
Geekbench AI Score
2660
Single Precision Score
1275
Half Precision Score
6037
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 03 2025 11:16 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 | HC Technology.,Ltd HCAR300_MI3 |
| Motherboard | HC Technology.,Ltd HCAR300_MI3 |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2097
390.0 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (Q)
|
99% |
4854
905.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7547
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4569
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4114
4.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
18220
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
1908
151.4 IPS |
|
|
Object Detection (HP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
86% |
6134
493.0 IPS |
|
|
Face Detection (SP)
|
100% |
5427
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
1286
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
7571
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5858
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1807
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12658
101.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10802
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10707
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26012
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1629
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2806
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
531
708.4 IPS |
|
|
Text Classification (Q)
|
97% |
937
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1742
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2397
48.2 IPS |
