Alienware Alienware m17 R5 AMD
Geekbench AI Score
2174
Single Precision Score
629
Half Precision Score
2672
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kolored |
| Upload Date | September 03 2024 04:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX |
| 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% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (Q)
|
97% |
2555
476.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
97% |
1730
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3931
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3311
3.86 IPS |
|
|
Pose Estimation (Q)
|
87% |
9344
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (Q)
|
86% |
1519
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (Q)
|
96% |
3295
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4730
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
843
6.49 IPS |
|
|
Depth Estimation (Q)
|
76% |
5303
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10372
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8250
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
14818
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2305
85.4 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
622
829.6 IPS |
|
|
Text Classification (Q)
|
97% |
351
470.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.98 IPS |
|
|
Machine Translation (Q)
|
60% |
1416
31.6 IPS |
