Alienware Alienware m18 R2
Geekbench AI Score
23053
Single Precision Score
34635
Half Precision Score
17733
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | PCmasterRacer |
| Upload Date | August 16 2024 10:02 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m18 R2 |
| Motherboard | Alienware 0GC9P0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9104
1.69 KIPS |
|
|
Image Classification (HP)
|
99% |
14419
2.69 KIPS |
|
|
Image Classification (Q)
|
100% |
7983
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13909
225.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16906
274.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12619
205.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
152728
178.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
365110
426.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
135487
158.7 IPS |
|
|
Object Detection (SP)
|
100% |
10973
870.4 IPS |
|
|
Object Detection (HP)
|
100% |
16709
1.33 KIPS |
|
|
Object Detection (Q)
|
89% |
9690
775.7 IPS |
|
|
Face Detection (SP)
|
100% |
27996
332.7 IPS |
|
|
Face Detection (HP)
|
100% |
37164
441.6 IPS |
|
|
Face Detection (Q)
|
97% |
23563
280.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
55105
424.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99357
765.5 IPS |
|
|
Depth Estimation (Q)
|
70% |
41832
350.2 IPS |
|
|
Style Transfer (SP)
|
100% |
255038
327.9 IPS |
|
|
Style Transfer (HP)
|
100% |
605722
778.7 IPS |
|
|
Style Transfer (Q)
|
98% |
227787
293.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40338
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47236
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30198
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4505
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2030
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3577
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1690
37.7 IPS |
