Tianbei GEM12
Geekbench AI Score
4158
Single Precision Score
6071
Half Precision Score
3053
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | May 19 2025 08:27 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% |
1655
307.7 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.2 IPS |
|
|
Image Classification (Q)
|
100% |
1647
306.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1508
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20865
24.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
37747
44.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14584
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.5 IPS |
|
|
Object Detection (HP)
|
100% |
1959
155.4 IPS |
|
|
Object Detection (Q)
|
87% |
1354
108.8 IPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5631
66.9 IPS |
|
|
Face Detection (Q)
|
97% |
2444
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9002
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13528
104.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6707
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35050
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
58338
75.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22855
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7057
260.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11061
408.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4312
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
1361
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1001
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1746
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1834
31.6 IPS |
|
|
Machine Translation (Q)
|
70% |
888
16.6 IPS |
