TOPC TS-12C
Geekbench AI Score
7296
Single Precision Score
11872
Half Precision Score
5752
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gardnerra |
| Upload Date | November 14 2025 09:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| 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% |
2395
445.5 IPS |
|
|
Image Classification (HP)
|
100% |
4066
756.1 IPS |
|
|
Image Classification (Q)
|
100% |
2509
466.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3262
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4772
77.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3284
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
40679
47.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
69042
80.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
30084
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.4 IPS |
|
|
Object Detection (HP)
|
100% |
3765
298.6 IPS |
|
|
Object Detection (Q)
|
87% |
2151
172.7 IPS |
|
|
Face Detection (SP)
|
100% |
5893
70.0 IPS |
|
|
Face Detection (HP)
|
100% |
10600
125.9 IPS |
|
|
Face Detection (Q)
|
97% |
5049
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17051
131.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27217
209.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
12513
100.3 IPS |
|
|
Style Transfer (SP)
|
100% |
69292
89.1 IPS |
|
|
Style Transfer (HP)
|
100% |
118882
152.8 IPS |
|
|
Style Transfer (Q)
|
98% |
47072
60.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11313
417.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24896
919.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8703
322.2 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1684
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2917
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4063
70.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1708
32.0 IPS |
