Tianbei GEM12
Geekbench AI Score
2356
Single Precision Score
1160
Half Precision Score
4915
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | May 14 2025 02:15 AM |
| Views | 3 |
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 |
| 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% |
1875
348.7 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (Q)
|
99% |
7812
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3682
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5545
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4950
5.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
23510
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.8 IPS |
|
|
Object Detection (HP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (Q)
|
86% |
5358
430.6 IPS |
|
|
Face Detection (SP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
6586
78.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4142
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1364
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
5001
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7619
9.79 IPS |
|
|
Style Transfer (HP)
|
100% |
7002
9.00 IPS |
|
|
Style Transfer (Q)
|
98% |
13890
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1384
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1287
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2166
80.2 IPS |
|
|
Text Classification (SP)
|
100% |
1038
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
471
629.1 IPS |
|
|
Text Classification (Q)
|
97% |
1151
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (Q)
|
65% |
1994
40.1 IPS |
