SchenkerTechnologiesGmbH XMG APEX (Mid 2021)
Geekbench AI Score
2386
Single Precision Score
684
Half Precision Score
2911
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | chaton22 |
| Upload Date | August 20 2024 08:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Entreprise LTSC (64-bit) |
| Model | SchenkerTechnologiesGmbH XMG APEX (Mid 2021) |
| Motherboard | NB01 NHx0ERQ_EPS |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
97% |
3182
593.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1214
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
1994
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4149
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3457
4.03 IPS |
|
|
Pose Estimation (Q)
|
87% |
10790
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (Q)
|
86% |
1602
128.8 IPS |
|
|
Face Detection (SP)
|
100% |
1849
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
293
3.48 IPS |
|
|
Face Detection (Q)
|
96% |
3314
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5236
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
847
6.53 IPS |
|
|
Depth Estimation (Q)
|
76% |
5253
42.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10529
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8564
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
13417
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1962
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2603
96.4 IPS |
|
|
Text Classification (SP)
|
100% |
1693
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
605
807.1 IPS |
|
|
Text Classification (Q)
|
97% |
415
555.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (Q)
|
60% |
1584
35.3 IPS |
