TOPC TS-12C
Geekbench AI Score
3984
Single Precision Score
2021
Half Precision Score
7712
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 08:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | TOPC TS-12C |
| Motherboard | TOPC TS-12C |
| 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% |
3199
594.8 IPS |
|
|
Image Classification (HP)
|
100% |
750
139.5 IPS |
|
|
Image Classification (Q)
|
99% |
7933
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10928
177.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8315
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
6551
7.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
28084
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
3119
247.4 IPS |
|
|
Object Detection (HP)
|
100% |
961
76.3 IPS |
|
|
Object Detection (Q)
|
86% |
7798
626.7 IPS |
|
|
Face Detection (SP)
|
100% |
5699
67.7 IPS |
|
|
Face Detection (HP)
|
100% |
2060
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
10736
128.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8713
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2994
23.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17220
137.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17148
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16418
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31815
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2494
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1441
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
1668
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1413
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3275
65.8 IPS |
