Alienware Alienware m16 R1
Geekbench AI Score
25281
Single Precision Score
38371
Half Precision Score
19590
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | voronczoff |
| Upload Date | April 03 2025 09:30 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware m16 R1 |
| Motherboard | Alienware 0TR9W6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores |
| 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% |
9761
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
15408
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
8791
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16743
271.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21563
349.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14784
240.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
147512
172.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
388853
453.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
137275
160.8 IPS |
|
|
Object Detection (SP)
|
100% |
12340
978.8 IPS |
|
|
Object Detection (HP)
|
100% |
18219
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
10487
844.2 IPS |
|
|
Face Detection (SP)
|
100% |
34351
408.2 IPS |
|
|
Face Detection (HP)
|
100% |
46180
548.7 IPS |
|
|
Face Detection (Q)
|
97% |
29438
351.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
62252
479.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104033
803.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
49116
392.7 IPS |
|
|
Style Transfer (SP)
|
100% |
269329
346.2 IPS |
|
|
Style Transfer (HP)
|
100% |
612591
787.5 IPS |
|
|
Style Transfer (Q)
|
98% |
234647
302.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41190
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51492
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30341
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
4343
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1886
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4467
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4467
76.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2292
43.0 IPS |
