Tianbei GEM12
Geekbench AI Score
3179
Single Precision Score
3223
Half Precision Score
9463
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | May 19 2025 08:25 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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
1802
335.1 IPS |
|
|
Image Classification (Q)
|
100% |
6810
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7186
116.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4938
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3890
4.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
17906
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
1900
150.7 IPS |
|
|
Object Detection (HP)
|
100% |
1895
150.3 IPS |
|
|
Object Detection (Q)
|
88% |
6156
493.4 IPS |
|
|
Face Detection (SP)
|
100% |
3829
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (Q)
|
100% |
15562
184.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4670
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5467
42.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
13981
108.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12972
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13266
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
48991
63.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2027
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2420
89.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8195
303.5 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (Q)
|
92% |
3647
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3351
57.7 IPS |
