TOPC TS-FL1C
Geekbench AI Score
4233
Single Precision Score
1652
Half Precision Score
8299
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 09:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7845HX |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | TOPC TS-FL1C |
| Motherboard | TOPC YUNIKI ITX WIFI D5 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7845HX |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3259
606.0 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.1 IPS |
|
|
Image Classification (Q)
|
99% |
8175
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3554
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6919
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5859
6.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
28372
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
3078
244.1 IPS |
|
|
Object Detection (HP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (Q)
|
86% |
8714
700.3 IPS |
|
|
Face Detection (SP)
|
100% |
7658
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
11680
139.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8665
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2474
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18040
144.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16623
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16065
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33604
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2667
98.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2410
89.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4300
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
1595
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
732
976.9 IPS |
|
|
Text Classification (Q)
|
97% |
1763
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2745
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4022
80.8 IPS |
