Tianbei GEM12
Geekbench AI Score
4190
Single Precision Score
4156
Half Precision Score
12695
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | May 14 2025 02:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2677
497.8 IPS |
|
|
Image Classification (HP)
|
100% |
2536
471.5 IPS |
|
|
Image Classification (Q)
|
100% |
10083
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3237
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3513
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8727
141.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6662
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
5518
6.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
24618
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2072
164.3 IPS |
|
|
Object Detection (HP)
|
100% |
2035
161.5 IPS |
|
|
Object Detection (Q)
|
88% |
7561
606.1 IPS |
|
|
Face Detection (SP)
|
100% |
3849
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
4086
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
19792
235.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6405
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6466
49.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
20570
160.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15297
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15436
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
59955
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3138
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3158
116.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10908
404.0 IPS |
|
|
Text Classification (SP)
|
100% |
3122
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (Q)
|
92% |
4611
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3782
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3912
67.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5408
93.2 IPS |
