Tianbei GEM12
Geekbench AI Score
5771
Single Precision Score
5785
Half Precision Score
16247
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bakacai |
| Upload Date | January 08 2025 08:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Tianbei GEM12 |
| Motherboard | Tianbei GEM12 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| 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% |
3902
725.6 IPS |
|
|
Image Classification (HP)
|
100% |
3904
726.0 IPS |
|
|
Image Classification (Q)
|
100% |
10380
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3870
62.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4213
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10275
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7916
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
7652
8.93 IPS |
|
|
Pose Estimation (Q)
|
98% |
31316
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
3324
263.6 IPS |
|
|
Object Detection (HP)
|
100% |
3174
251.8 IPS |
|
|
Object Detection (Q)
|
88% |
10345
829.3 IPS |
|
|
Face Detection (SP)
|
100% |
7762
92.2 IPS |
|
|
Face Detection (HP)
|
100% |
7768
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
25980
308.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8993
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9084
70.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
27468
213.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21263
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21293
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
82656
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4661
172.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4615
170.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15800
585.1 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (Q)
|
92% |
5966
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4403
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4500
77.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6674
115.0 IPS |
