Tianbei GEM12
Geekbench AI Score
3520
Single Precision Score
5205
Half Precision Score
2568
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | May 19 2025 05:10 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% |
1543
286.9 IPS |
|
|
Image Classification (HP)
|
100% |
2401
446.6 IPS |
|
|
Image Classification (Q)
|
100% |
1426
265.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1475
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20253
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
37277
43.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14216
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
100% |
1957
155.2 IPS |
|
|
Object Detection (Q)
|
87% |
1112
89.3 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4623
54.9 IPS |
|
|
Face Detection (Q)
|
97% |
1823
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6894
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10131
78.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
5255
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28555
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
44749
57.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18218
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5283
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8119
299.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3178
117.7 IPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1185
1.58 KIPS |
|
|
Text Classification (Q)
|
97% |
743
995.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (Q)
|
70% |
913
17.1 IPS |
