SchenkerTechnologiesGmbH XMG APEX 15 MAX (E22)
Geekbench AI Score
14054
Single Precision Score
24330
Half Precision Score
9407
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | September 10 2024 02:49 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| 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% |
5775
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
9827
1.83 KIPS |
|
|
Image Classification (Q)
|
100% |
4216
784.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9231
149.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14538
235.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7586
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
69606
81.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
191078
223.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
58617
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
6877
545.5 IPS |
|
|
Object Detection (HP)
|
100% |
12520
993.1 IPS |
|
|
Object Detection (Q)
|
89% |
5290
423.6 IPS |
|
|
Face Detection (SP)
|
100% |
15563
184.9 IPS |
|
|
Face Detection (HP)
|
100% |
24919
296.1 IPS |
|
|
Face Detection (Q)
|
97% |
11546
137.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33406
257.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
65553
505.0 IPS |
|
|
Depth Estimation (Q)
|
71% |
21868
181.7 IPS |
|
|
Style Transfer (SP)
|
100% |
119655
153.8 IPS |
|
|
Style Transfer (HP)
|
100% |
316337
406.7 IPS |
|
|
Style Transfer (Q)
|
98% |
97166
125.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21951
810.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36291
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13584
503.0 IPS |
|
|
Text Classification (SP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
3229
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1355
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1212
27.0 IPS |
