Alienware Alienware m17 R4
Geekbench AI Score
14786
Single Precision Score
22914
Half Precision Score
9683
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jlai |
| Upload Date | April 23 2025 05:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m17 R4 |
| Motherboard | Alienware Alienware m17 R4 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10870H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4887
908.8 IPS |
|
|
Image Classification (HP)
|
99% |
7961
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
4052
753.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8892
144.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11692
189.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7025
114.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
92075
107.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
247772
289.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
74849
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
7547
598.7 IPS |
|
|
Object Detection (HP)
|
100% |
10776
854.8 IPS |
|
|
Object Detection (Q)
|
85% |
5791
466.2 IPS |
|
|
Face Detection (SP)
|
100% |
17464
207.5 IPS |
|
|
Face Detection (HP)
|
100% |
25527
303.3 IPS |
|
|
Face Detection (Q)
|
97% |
13046
155.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
41598
320.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
67664
521.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
25222
202.0 IPS |
|
|
Style Transfer (SP)
|
100% |
148342
190.7 IPS |
|
|
Style Transfer (HP)
|
100% |
367841
472.9 IPS |
|
|
Style Transfer (Q)
|
98% |
116186
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25844
954.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32261
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15009
555.8 IPS |
|
|
Text Classification (SP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
3318
4.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1001
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2361
40.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1023
19.2 IPS |
