Tianbei GEM12
Geekbench AI Score
4720
Single Precision Score
8264
Half Precision Score
3428
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | neph |
| Upload Date | May 31 2025 05:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Tianbei GEM12 |
| Motherboard | Tianbei GEM12 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8845HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1825
339.3 IPS |
|
|
Image Classification (HP)
|
100% |
3621
673.3 IPS |
|
|
Image Classification (Q)
|
100% |
1585
294.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3297
53.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1611
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22889
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53422
62.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
15276
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
100% |
2924
231.9 IPS |
|
|
Object Detection (Q)
|
87% |
1570
126.1 IPS |
|
|
Face Detection (SP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5803
69.0 IPS |
|
|
Face Detection (Q)
|
97% |
2402
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9837
75.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18109
139.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7232
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42707
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
83827
107.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25785
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7644
282.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14735
544.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4676
173.2 IPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1600
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1092
20.5 IPS |
