Alienware Alienware x17 R1
Geekbench AI Score
17374
Single Precision Score
27563
Half Precision Score
11454
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Peter_ma |
| Upload Date | September 07 2025 01:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Alienware Alienware x17 R1 |
| Motherboard | Alienware Alienware x17 R1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6771
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
10022
1.87 KIPS |
|
|
Image Classification (Q)
|
100% |
4996
929.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
11530
186.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16529
267.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9032
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
93070
108.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
269116
314.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
76698
89.9 IPS |
|
|
Object Detection (SP)
|
100% |
9192
729.1 IPS |
|
|
Object Detection (HP)
|
100% |
13709
1.09 KIPS |
|
|
Object Detection (Q)
|
85% |
6765
544.6 IPS |
|
|
Face Detection (SP)
|
100% |
21277
252.8 IPS |
|
|
Face Detection (HP)
|
100% |
31698
376.6 IPS |
|
|
Face Detection (Q)
|
97% |
16148
192.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
45054
347.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
79289
610.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
29826
238.9 IPS |
|
|
Style Transfer (SP)
|
100% |
154059
198.0 IPS |
|
|
Style Transfer (HP)
|
100% |
398749
512.6 IPS |
|
|
Style Transfer (Q)
|
98% |
122600
158.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28975
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38775
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17205
637.1 IPS |
|
|
Text Classification (SP)
|
100% |
2548
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
3098
4.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1251
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1307
24.5 IPS |
