Alienware Alienware m15
Geekbench AI Score
10048
Single Precision Score
16582
Half Precision Score
7218
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tobyg |
| Upload Date | February 03 2025 03:31 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware m15 |
| Motherboard | Alienware 03R2RY |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4461
829.5 IPS |
|
|
Image Classification (HP)
|
100% |
6987
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
3296
614.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6337
102.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8228
133.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5423
88.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
51030
59.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
148224
173.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
43727
51.2 IPS |
|
|
Object Detection (SP)
|
100% |
4801
380.8 IPS |
|
|
Object Detection (HP)
|
100% |
7470
592.5 IPS |
|
|
Object Detection (Q)
|
84% |
4052
326.8 IPS |
|
|
Face Detection (SP)
|
100% |
12258
145.6 IPS |
|
|
Face Detection (HP)
|
100% |
18048
214.4 IPS |
|
|
Face Detection (Q)
|
97% |
10102
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26390
203.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48369
372.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
18999
152.1 IPS |
|
|
Style Transfer (SP)
|
100% |
87313
112.2 IPS |
|
|
Style Transfer (HP)
|
100% |
209187
268.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72672
93.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17182
634.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27663
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11021
408.1 IPS |
|
|
Text Classification (SP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (HP)
|
99% |
2496
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1009
18.9 IPS |
