SchenkerTechnologiesGmbH XMG APEX 15 MAX (E22)
Geekbench AI Score
4047
Single Precision Score
4063
Half Precision Score
6586
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | September 10 2024 02:39 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SchenkerTechnologiesGmbH XMG APEX 15 MAX (E22) |
| Motherboard | NB01 NH57Vx |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2893
538.1 IPS |
|
|
Image Classification (HP)
|
100% |
3019
561.4 IPS |
|
|
Image Classification (Q)
|
100% |
4769
886.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5151
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7082
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
7197
8.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
16183
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
3133
248.5 IPS |
|
|
Object Detection (HP)
|
100% |
3060
242.7 IPS |
|
|
Object Detection (Q)
|
87% |
5421
434.8 IPS |
|
|
Face Detection (SP)
|
100% |
6427
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
6448
76.6 IPS |
|
|
Face Detection (Q)
|
97% |
16034
191.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8000
61.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
8128
62.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
15059
119.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20542
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20376
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
45296
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8778
325.1 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
735
980.6 IPS |
|
|
Text Classification (Q)
|
91% |
428
574.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2701
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2598
44.7 IPS |
|
|
Machine Translation (Q)
|
90% |
1735
30.2 IPS |
