Tianbei GEM12
Geekbench AI Score
21977
Single Precision Score
34786
Half Precision Score
17743
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | September 03 2025 10:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Tianbei GEM12 |
| Motherboard | Tianbei GEM12 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HS 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8647
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
12945
2.41 KIPS |
|
|
Image Classification (Q)
|
100% |
7940
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13053
211.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16843
273.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12331
200.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
154303
180.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
410442
478.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
132591
155.3 IPS |
|
|
Object Detection (SP)
|
100% |
11098
880.3 IPS |
|
|
Object Detection (HP)
|
100% |
15663
1.24 KIPS |
|
|
Object Detection (Q)
|
83% |
9845
795.4 IPS |
|
|
Face Detection (SP)
|
100% |
27579
327.7 IPS |
|
|
Face Detection (HP)
|
100% |
36271
431.0 IPS |
|
|
Face Detection (Q)
|
97% |
24056
286.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
62310
480.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
114516
882.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
49071
391.7 IPS |
|
|
Style Transfer (SP)
|
100% |
209684
269.6 IPS |
|
|
Style Transfer (HP)
|
100% |
638307
820.6 IPS |
|
|
Style Transfer (Q)
|
98% |
181890
234.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34654
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55239
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28215
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3554
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1961
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2037
38.2 IPS |
