Tianbei GEM12
Geekbench AI Score
2228
Single Precision Score
1007
Half Precision Score
4560
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | June 13 2025 11:11 AM |
| Views | 4 |
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 | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1969
366.1 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.8 IPS |
|
|
Image Classification (Q)
|
99% |
6244
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
606
9.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
2800
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4093
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3033
3.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
14224
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (HP)
|
100% |
438
34.7 IPS |
|
|
Object Detection (Q)
|
86% |
4334
348.3 IPS |
|
|
Face Detection (SP)
|
100% |
3808
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
1009
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
7112
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4406
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1458
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
5440
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8467
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7473
9.61 IPS |
|
|
Style Transfer (Q)
|
98% |
18658
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1369
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2235
82.8 IPS |
|
|
Text Classification (SP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
445
593.5 IPS |
|
|
Text Classification (Q)
|
97% |
1108
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (Q)
|
65% |
2022
40.6 IPS |
