Tianbei GEM12
Geekbench AI Score
2669
Single Precision Score
1238
Half Precision Score
4971
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | May 19 2025 08:30 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% |
2304
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (Q)
|
99% |
5207
971.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
2785
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5010
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3796
4.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
17633
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.1 IPS |
|
|
Object Detection (HP)
|
100% |
592
47.0 IPS |
|
|
Object Detection (Q)
|
86% |
4773
383.6 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
1283
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
7947
94.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6284
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1928
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5732
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12382
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10224
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16128
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1632
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2591
95.9 IPS |
|
|
Text Classification (SP)
|
100% |
1472
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
607
809.8 IPS |
|
|
Text Classification (Q)
|
97% |
1478
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2684
53.9 IPS |
