Tianbei GEM12
Geekbench AI Score
4312
Single Precision Score
4319
Half Precision Score
12043
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | June 13 2025 02:17 PM |
| Views | 2 |
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 | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2734
508.5 IPS |
|
|
Image Classification (HP)
|
100% |
2738
509.1 IPS |
|
|
Image Classification (Q)
|
100% |
7730
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3173
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8021
130.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5231
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5027
5.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
23170
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
2069
164.1 IPS |
|
|
Object Detection (HP)
|
100% |
2353
186.6 IPS |
|
|
Object Detection (Q)
|
88% |
7994
640.8 IPS |
|
|
Face Detection (SP)
|
100% |
5742
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
5602
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
18801
223.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7404
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7293
56.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
21204
165.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16348
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16660
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
61783
79.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3482
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3392
125.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10730
397.4 IPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
4276
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3800
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4945
85.2 IPS |
