Tianbei GEM12
Geekbench AI Score
4966
Single Precision Score
9021
Half Precision Score
3590
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | May 07 2025 07:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Tianbei GEM12 |
| Motherboard | Tianbei GEM12 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1778
330.6 IPS |
|
|
Image Classification (HP)
|
100% |
4280
795.9 IPS |
|
|
Image Classification (Q)
|
100% |
1576
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3344
54.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1665
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24313
28.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
56890
66.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16354
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
1771
140.5 IPS |
|
|
Object Detection (HP)
|
100% |
2843
225.5 IPS |
|
|
Object Detection (Q)
|
87% |
1596
128.2 IPS |
|
|
Face Detection (SP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6214
73.8 IPS |
|
|
Face Detection (Q)
|
97% |
2566
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10448
80.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19433
149.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
7860
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47545
61.1 IPS |
|
|
Style Transfer (HP)
|
100% |
91113
117.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27949
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8213
303.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18240
673.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4839
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3118
4.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1664
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2078
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1145
21.5 IPS |
