Tianbei GEM12
Geekbench AI Score
3025
Single Precision Score
1391
Half Precision Score
6342
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 17 2025 02:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Tianbei GEM12 |
| Motherboard | Tianbei GEM12 |
| Power Plan | Ausbalanciert |
| 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% |
3221
599.0 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.5 IPS |
|
|
Image Classification (Q)
|
99% |
8535
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
836
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6073
98.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4124
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3621
4.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
14959
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2065
163.8 IPS |
|
|
Object Detection (HP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (Q)
|
86% |
5919
475.7 IPS |
|
|
Face Detection (SP)
|
100% |
4762
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
1301
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
9326
111.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2023
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6632
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10220
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9146
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21123
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1791
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4432
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
689
919.5 IPS |
|
|
Text Classification (Q)
|
97% |
1452
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2729
54.8 IPS |
