Tianbei GEM12
Geekbench AI Score
4464
Single Precision Score
7920
Half Precision Score
3235
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | May 12 2025 08:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD 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% |
1873
348.3 IPS |
|
|
Image Classification (HP)
|
100% |
3592
667.9 IPS |
|
|
Image Classification (Q)
|
100% |
1552
288.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3092
50.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1619
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23173
27.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
54468
63.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14070
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.7 IPS |
|
|
Object Detection (HP)
|
100% |
3051
242.0 IPS |
|
|
Object Detection (Q)
|
87% |
1543
124.0 IPS |
|
|
Face Detection (SP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5953
70.7 IPS |
|
|
Face Detection (Q)
|
97% |
2230
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10148
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18493
142.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7339
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42222
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
85747
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22285
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6993
258.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14628
540.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4630
171.4 IPS |
|
|
Text Classification (SP)
|
100% |
1156
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1548
2.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1163
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1980
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1174
22.0 IPS |
