Alienware Alienware x17 R1
Geekbench AI Score
2301
Single Precision Score
3484
Half Precision Score
5463
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Peter_ma |
| Upload Date | September 07 2025 01:47 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
2386
443.8 IPS |
|
|
Image Classification (Q)
|
99% |
3670
684.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3478
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4055
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3845
4.49 IPS |
|
|
Pose Estimation (HP)
|
99% |
2829
3.30 IPS |
|
|
Pose Estimation (Q)
|
97% |
11574
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (HP)
|
98% |
2040
162.3 IPS |
|
|
Object Detection (Q)
|
90% |
3863
308.8 IPS |
|
|
Face Detection (SP)
|
100% |
4170
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
6864
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
9130
108.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4454
34.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7497
57.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10286
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10043
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15822
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26653
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1816
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2945
108.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6056
224.3 IPS |
|
|
Text Classification (SP)
|
71% |
972
1.41 KIPS |
|
|
Text Classification (HP)
|
71% |
1193
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1924
33.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1933
33.3 IPS |
