SchenkerTechnologiesGmbH XMG APEX 15 MAX (E22)
Geekbench AI Score
2678
Single Precision Score
691
Half Precision Score
3136
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | September 10 2024 02:45 AM |
| Views | 18 |
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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.8 IPS |
|
|
Image Classification (Q)
|
97% |
2848
531.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
2179
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7067
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
4699
5.48 IPS |
|
|
Pose Estimation (Q)
|
87% |
14528
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1651
131.0 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
86% |
1548
124.5 IPS |
|
|
Face Detection (SP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
277
3.30 IPS |
|
|
Face Detection (Q)
|
96% |
3556
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6422
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
856
6.60 IPS |
|
|
Depth Estimation (Q)
|
76% |
6523
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15545
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12918
16.6 IPS |
|
|
Style Transfer (Q)
|
87% |
15289
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2755
102.1 IPS |
|
|
Text Classification (SP)
|
100% |
1139
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
457
609.5 IPS |
|
|
Text Classification (Q)
|
97% |
373
499.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.29 IPS |
|
|
Machine Translation (Q)
|
60% |
1810
40.4 IPS |
