Alienware Alienware m18 R2
Geekbench AI Score
24762
Single Precision Score
36081
Half Precision Score
19319
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 12:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware m18 R2 |
| Motherboard | Alienware 0R5W53 |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9356
1.74 KIPS |
|
|
Image Classification (HP)
|
99% |
14026
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
8593
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13863
224.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16715
271.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13054
212.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
186066
217.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
383314
447.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
171757
201.2 IPS |
|
|
Object Detection (SP)
|
100% |
12570
997.1 IPS |
|
|
Object Detection (HP)
|
100% |
17203
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
10679
859.0 IPS |
|
|
Face Detection (SP)
|
100% |
32582
387.1 IPS |
|
|
Face Detection (HP)
|
100% |
40963
486.7 IPS |
|
|
Face Detection (Q)
|
97% |
28308
337.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
64421
496.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
114752
886.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
49856
398.1 IPS |
|
|
Style Transfer (SP)
|
100% |
294067
378.0 IPS |
|
|
Style Transfer (HP)
|
100% |
634083
815.1 IPS |
|
|
Style Transfer (Q)
|
98% |
255751
329.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41851
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57989
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31950
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3161
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1594
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3500
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1915
35.9 IPS |
