Tianbei GEM12
Geekbench AI Score
4822
Single Precision Score
8195
Half Precision Score
3527
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | May 09 2025 03:07 AM |
| Views | 4 |
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% |
1952
363.0 IPS |
|
|
Image Classification (HP)
|
100% |
3549
660.0 IPS |
|
|
Image Classification (Q)
|
100% |
1759
327.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3381
54.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1604
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23493
27.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
55465
64.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
15902
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
3060
242.7 IPS |
|
|
Object Detection (Q)
|
87% |
1591
127.8 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
6028
71.6 IPS |
|
|
Face Detection (Q)
|
97% |
2473
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10547
81.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19527
150.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
7869
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
45344
58.3 IPS |
|
|
Style Transfer (HP)
|
100% |
90682
116.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26988
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8187
302.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16363
604.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4946
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
1779
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1844
2.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1430
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2084
35.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1126
21.1 IPS |
