Tianbei GEM12
Geekbench AI Score
2242
Single Precision Score
2699
Half Precision Score
1796
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | June 13 2025 11:08 AM |
| Views | 2 |
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 | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
857
159.3 IPS |
|
|
Image Classification (HP)
|
100% |
931
173.1 IPS |
|
|
Image Classification (Q)
|
100% |
797
148.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1219
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9416
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14609
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
8092
9.48 IPS |
|
|
Object Detection (SP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (HP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (Q)
|
87% |
759
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (Q)
|
97% |
2587
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4856
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5870
45.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
4120
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14768
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22292
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
12868
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3281
121.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4748
175.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2555
94.6 IPS |
|
|
Text Classification (SP)
|
100% |
515
687.1 IPS |
|
|
Text Classification (HP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
371
497.5 IPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
70% |
451
8.46 IPS |
