Tianbei GEM12
Geekbench AI Score
2282
Single Precision Score
1179
Half Precision Score
4847
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | May 19 2025 05:28 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% |
1538
285.9 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.8 IPS |
|
|
Image Classification (Q)
|
99% |
5399
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2697
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3415
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3746
4.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
18748
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2087
165.6 IPS |
|
|
Object Detection (HP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (Q)
|
86% |
4779
384.1 IPS |
|
|
Face Detection (SP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
7206
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6203
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1997
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
5541
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8027
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7251
9.32 IPS |
|
|
Style Transfer (Q)
|
98% |
15263
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1846
68.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2667
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
1200
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
558
745.4 IPS |
|
|
Text Classification (Q)
|
97% |
1382
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2443
49.1 IPS |
