HC Technology.,Ltd HCAR300_MI3
Geekbench AI Score
19643
Single Precision Score
33745
Half Precision Score
15652
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 01:19 PM |
| Views | 5 |
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% |
8491
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
13552
2.52 KIPS |
|
|
Image Classification (Q)
|
100% |
7801
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12699
205.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16788
272.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11875
193.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
116605
136.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
360008
420.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
109824
128.6 IPS |
|
|
Object Detection (SP)
|
100% |
10215
810.3 IPS |
|
|
Object Detection (HP)
|
100% |
16264
1.29 KIPS |
|
|
Object Detection (Q)
|
83% |
8910
719.8 IPS |
|
|
Face Detection (SP)
|
100% |
25485
302.8 IPS |
|
|
Face Detection (HP)
|
100% |
37201
442.0 IPS |
|
|
Face Detection (Q)
|
97% |
22375
266.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
52140
401.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105532
813.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
41891
334.4 IPS |
|
|
Style Transfer (SP)
|
100% |
161135
207.1 IPS |
|
|
Style Transfer (HP)
|
100% |
525579
675.6 IPS |
|
|
Style Transfer (Q)
|
98% |
142345
183.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29907
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52747
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23526
871.2 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1927
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1610
30.2 IPS |
