Alienware Alienware m15 Ryzen Ed. R5
Geekbench AI Score
2303
Single Precision Score
623
Half Precision Score
2572
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ririsid |
| Upload Date | September 04 2024 03:07 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware m15 Ryzen Ed. R5 |
| Motherboard | Alienware 0F8CRX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1478
274.8 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (Q)
|
97% |
2675
499.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
1716
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4119
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3251
3.79 IPS |
|
|
Pose Estimation (Q)
|
87% |
9317
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
86% |
1193
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
237
2.82 IPS |
|
|
Face Detection (Q)
|
96% |
3129
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4856
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
783
6.03 IPS |
|
|
Depth Estimation (Q)
|
76% |
5395
43.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10532
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8380
10.8 IPS |
|
|
Style Transfer (Q)
|
87% |
13157
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1862
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1398
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2278
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
1453
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
562
749.6 IPS |
|
|
Text Classification (Q)
|
97% |
350
468.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (Q)
|
60% |
1407
31.4 IPS |
