TOPC TS-12C
Geekbench AI Score
2280
Single Precision Score
1264
Half Precision Score
5231
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gardnerra |
| Upload Date | November 14 2025 04:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000000994-38_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | TOPC TS-12C |
| Motherboard | TOPC TS-12C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000994-38_Y |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1854
344.7 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.5 IPS |
|
|
Image Classification (Q)
|
99% |
5490
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6418
104.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3999
4.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3470
4.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
15446
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
100% |
520
41.3 IPS |
|
|
Object Detection (Q)
|
86% |
4598
369.5 IPS |
|
|
Face Detection (SP)
|
100% |
2854
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
7923
94.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5289
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1970
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10850
86.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10810
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10805
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15352
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1655
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2143
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
1442
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
620
827.1 IPS |
|
|
Text Classification (Q)
|
97% |
1189
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
1824
36.6 IPS |
