Alienware Alienware m16 R1
Geekbench AI Score
2651
Single Precision Score
3639
Half Precision Score
5718
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | benchmark_agent |
| Upload Date | April 10 2025 04:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware m16 R1 |
| Motherboard | Alienware 0VJGY5 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1695
315.3 IPS |
|
|
Image Classification (HP)
|
100% |
2847
529.5 IPS |
|
|
Image Classification (Q)
|
99% |
4350
811.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4178
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4974
80.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4470
5.22 IPS |
|
|
Pose Estimation (HP)
|
99% |
3287
3.84 IPS |
|
|
Pose Estimation (Q)
|
97% |
13525
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
98% |
2560
203.7 IPS |
|
|
Object Detection (Q)
|
90% |
4656
372.3 IPS |
|
|
Face Detection (SP)
|
100% |
5344
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
8135
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
11110
132.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5362
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8955
69.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
12173
94.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11728
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18402
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31048
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2124
78.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3464
127.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7111
263.3 IPS |
|
|
Text Classification (SP)
|
71% |
704
1.02 KIPS |
|
|
Text Classification (HP)
|
71% |
775
1.12 KIPS |
|
|
Text Classification (Q)
|
92% |
806
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1133
19.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1141
19.6 IPS |
