Alienware Alienware m17 R5 AMD
Geekbench AI Score
15355
Single Precision Score
24062
Half Precision Score
9968
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kolored |
| Upload Date | September 03 2024 03:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m17 R5 AMD |
| Motherboard | Alienware 0FDTJY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6134
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
8902
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
4351
809.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10027
162.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13736
222.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7919
128.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
86585
101.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
251407
293.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
71935
84.2 IPS |
|
|
Object Detection (SP)
|
100% |
7955
631.0 IPS |
|
|
Object Detection (HP)
|
100% |
12107
960.3 IPS |
|
|
Object Detection (Q)
|
88% |
5850
469.1 IPS |
|
|
Face Detection (SP)
|
100% |
16520
196.3 IPS |
|
|
Face Detection (HP)
|
100% |
24080
286.1 IPS |
|
|
Face Detection (Q)
|
97% |
12443
148.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38811
299.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71174
548.3 IPS |
|
|
Depth Estimation (Q)
|
69% |
24291
205.8 IPS |
|
|
Style Transfer (SP)
|
100% |
151663
195.0 IPS |
|
|
Style Transfer (HP)
|
100% |
367684
472.7 IPS |
|
|
Style Transfer (Q)
|
98% |
116967
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26547
980.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34737
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15525
574.9 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
2741
3.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2891
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2914
50.2 IPS |
|
|
Machine Translation (Q)
|
60% |
996
22.2 IPS |
