SchenkerTechnologiesGmbH XMG APEX 15 MAX (E22)
Geekbench AI Score
2707
Single Precision Score
692
Half Precision Score
3170
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | September 10 2024 02:37 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900 |
| 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% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
134
24.9 IPS |
|
|
Image Classification (Q)
|
97% |
2975
555.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
2240
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6896
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4820
5.62 IPS |
|
|
Pose Estimation (Q)
|
87% |
14566
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.9 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (Q)
|
86% |
1541
123.9 IPS |
|
|
Face Detection (SP)
|
100% |
2224
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (Q)
|
96% |
3553
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6327
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
864
6.66 IPS |
|
|
Depth Estimation (Q)
|
76% |
6652
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15251
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12546
16.1 IPS |
|
|
Style Transfer (Q)
|
87% |
15353
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1930
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1537
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2724
100.9 IPS |
|
|
Text Classification (SP)
|
100% |
1126
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
461
614.9 IPS |
|
|
Text Classification (Q)
|
97% |
372
498.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (Q)
|
60% |
1866
41.6 IPS |
