HC Technology.,Ltd HCAR300_MI3
Geekbench AI Score
19123
Single Precision Score
32246
Half Precision Score
15234
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 01:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
8332
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
13036
2.42 KIPS |
|
|
Image Classification (Q)
|
100% |
6962
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12261
198.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16170
262.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11443
186.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
117872
137.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
347985
406.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
109146
127.8 IPS |
|
|
Object Detection (SP)
|
100% |
9632
764.0 IPS |
|
|
Object Detection (HP)
|
100% |
15300
1.21 KIPS |
|
|
Object Detection (Q)
|
83% |
8562
691.7 IPS |
|
|
Face Detection (SP)
|
100% |
23828
283.1 IPS |
|
|
Face Detection (HP)
|
100% |
35269
419.1 IPS |
|
|
Face Detection (Q)
|
97% |
21421
255.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
51876
399.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100802
776.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
41890
334.4 IPS |
|
|
Style Transfer (SP)
|
100% |
163752
210.5 IPS |
|
|
Style Transfer (HP)
|
100% |
515988
663.3 IPS |
|
|
Style Transfer (Q)
|
98% |
141736
182.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29948
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50992
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23711
878.0 IPS |
|
|
Text Classification (SP)
|
100% |
2644
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3127
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1877
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1598
30.0 IPS |
