Alienware Alienware x17 R2
Geekbench AI Score
4127
Single Precision Score
5193
Half Precision Score
6735
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 01:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware x17 R2 |
| Motherboard | Alienware 0FYTGC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2898
538.9 IPS |
|
|
Image Classification (HP)
|
100% |
3439
639.5 IPS |
|
|
Image Classification (Q)
|
99% |
2778
518.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4490
72.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7268
117.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8342
135.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10473
12.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7666
8.94 IPS |
|
|
Pose Estimation (Q)
|
97% |
31137
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
2822
223.9 IPS |
|
|
Object Detection (HP)
|
100% |
3618
287.0 IPS |
|
|
Object Detection (Q)
|
90% |
3366
269.1 IPS |
|
|
Face Detection (SP)
|
100% |
7580
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
11929
141.7 IPS |
|
|
Face Detection (Q)
|
100% |
11243
133.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10258
79.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
15560
120.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
19912
154.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26636
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35407
45.5 IPS |
|
|
Style Transfer (Q)
|
98% |
70618
91.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6547
241.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10910
404.1 IPS |
|
|
Text Classification (SP)
|
71% |
502
726.8 IPS |
|
|
Text Classification (HP)
|
71% |
425
615.1 IPS |
|
|
Text Classification (Q)
|
92% |
418
562.0 IPS |
|
|
Machine Translation (SP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1126
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1098
19.0 IPS |
