Tianbei GEM12
Geekbench AI Score
5088
Single Precision Score
9037
Half Precision Score
3629
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | May 14 2025 02:10 AM |
| Views | 3 |
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 |
| 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% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
3808
708.2 IPS |
|
|
Image Classification (Q)
|
100% |
1853
344.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3300
53.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1568
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24618
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
57137
66.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16484
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (HP)
|
100% |
3319
263.2 IPS |
|
|
Object Detection (Q)
|
87% |
1690
135.7 IPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6277
74.6 IPS |
|
|
Face Detection (Q)
|
97% |
2456
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10912
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21139
162.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
7982
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
45084
58.0 IPS |
|
|
Style Transfer (HP)
|
100% |
93362
120.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26910
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9066
334.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18009
665.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5236
193.9 IPS |
|
|
Text Classification (SP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2563
3.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1486
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2230
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2668
46.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1194
22.4 IPS |
