Alienware Alienware m15 Ryzen Ed. R5
Geekbench AI Score
11895
Single Precision Score
19487
Half Precision Score
8288
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ririsid |
| Upload Date | September 04 2024 03:09 PM |
| Views | 10 |
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 | 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% |
4884
908.3 IPS |
|
|
Image Classification (HP)
|
99% |
7740
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
3710
689.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7029
113.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10032
162.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5961
96.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
66439
77.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
173582
202.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
55543
65.0 IPS |
|
|
Object Detection (SP)
|
100% |
5665
449.3 IPS |
|
|
Object Detection (HP)
|
100% |
9535
756.3 IPS |
|
|
Object Detection (Q)
|
89% |
4559
365.1 IPS |
|
|
Face Detection (SP)
|
100% |
12758
151.6 IPS |
|
|
Face Detection (HP)
|
100% |
19090
226.8 IPS |
|
|
Face Detection (Q)
|
97% |
10017
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
30787
237.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
57818
445.5 IPS |
|
|
Depth Estimation (Q)
|
71% |
20487
170.2 IPS |
|
|
Style Transfer (SP)
|
100% |
110762
142.4 IPS |
|
|
Style Transfer (HP)
|
100% |
275200
353.8 IPS |
|
|
Style Transfer (Q)
|
98% |
91165
117.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19609
724.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30507
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12438
460.6 IPS |
|
|
Text Classification (SP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (HP)
|
99% |
2731
3.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1181
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2371
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2429
41.8 IPS |
|
|
Machine Translation (Q)
|
60% |
994
22.2 IPS |
