Alienware Alienware m18 R1
Geekbench AI Score
27400
Single Precision Score
41180
Half Precision Score
21209
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Krashkource |
| Upload Date | February 02 2026 06:23 AM |
| Views | 8 |
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 R1 |
| Motherboard | Alienware 0KMHVK |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10099
1.88 KIPS |
|
|
Image Classification (HP)
|
99% |
14697
2.74 KIPS |
|
|
Image Classification (Q)
|
100% |
8849
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17308
280.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22187
359.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16018
260.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
191504
223.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
427314
498.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
171281
200.7 IPS |
|
|
Object Detection (SP)
|
100% |
13466
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
19003
1.51 KIPS |
|
|
Object Detection (Q)
|
85% |
11553
929.3 IPS |
|
|
Face Detection (SP)
|
100% |
37953
451.0 IPS |
|
|
Face Detection (HP)
|
100% |
49468
587.8 IPS |
|
|
Face Detection (Q)
|
97% |
33350
397.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
68356
526.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
125667
970.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
52347
418.0 IPS |
|
|
Style Transfer (SP)
|
100% |
299719
385.3 IPS |
|
|
Style Transfer (HP)
|
100% |
736256
946.5 IPS |
|
|
Style Transfer (Q)
|
98% |
270459
348.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45827
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61605
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34949
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4346
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1833
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4343
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4323
74.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2171
40.7 IPS |
