Tianbei GEM12
Geekbench AI Score
3999
Single Precision Score
5706
Half Precision Score
2853
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sandsaber |
| Upload Date | June 10 2025 12:41 PM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1477
274.7 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.1 IPS |
|
|
Image Classification (Q)
|
100% |
1455
270.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1586
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20227
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
35432
41.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14188
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1361
107.9 IPS |
|
|
Object Detection (HP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (Q)
|
87% |
1374
110.3 IPS |
|
|
Face Detection (SP)
|
100% |
3093
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
5243
62.3 IPS |
|
|
Face Detection (Q)
|
97% |
2550
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8521
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13339
102.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
5810
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31120
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
51979
66.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20477
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7073
261.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10879
401.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4137
153.2 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (Q)
|
97% |
784
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (Q)
|
70% |
808
15.2 IPS |
