Alienware Alienware m16 R2
Geekbench AI Score
18346
Single Precision Score
28859
Half Precision Score
14220
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Caliqo |
| Upload Date | November 22 2024 11:07 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m16 R2 |
| Motherboard | Alienware 0NNNJG |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6673
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
9978
1.86 KIPS |
|
|
Image Classification (Q)
|
100% |
5999
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11118
180.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14822
240.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11145
181.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
115781
135.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
288465
336.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
102300
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
8811
698.9 IPS |
|
|
Object Detection (HP)
|
100% |
13799
1.09 KIPS |
|
|
Object Detection (Q)
|
88% |
7304
585.8 IPS |
|
|
Face Detection (SP)
|
100% |
19795
235.2 IPS |
|
|
Face Detection (HP)
|
100% |
31109
369.6 IPS |
|
|
Face Detection (Q)
|
97% |
16681
198.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
43646
336.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
80519
620.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
35003
281.2 IPS |
|
|
Style Transfer (SP)
|
100% |
180542
232.1 IPS |
|
|
Style Transfer (HP)
|
100% |
441569
567.6 IPS |
|
|
Style Transfer (Q)
|
98% |
163570
210.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35649
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47569
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25065
928.1 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3531
4.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1795
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3664
63.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1575
35.1 IPS |
