HC Technology.,Ltd HCAR300_MI3
Geekbench AI Score
3276
Single Precision Score
1616
Half Precision Score
7262
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 01:38 PM |
| Views | 3 |
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% |
2481
461.4 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.5 IPS |
|
|
Image Classification (Q)
|
99% |
6693
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9258
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5859
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5031
5.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
25301
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
2642
209.6 IPS |
|
|
Object Detection (HP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (Q)
|
86% |
7007
563.1 IPS |
|
|
Face Detection (SP)
|
100% |
6195
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
9321
111.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7572
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2419
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15706
125.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13928
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13379
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30950
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2131
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2016
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2626
97.3 IPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1358
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2301
46.2 IPS |
