Alienware Alienware m15 R4
Geekbench AI Score
14541
Single Precision Score
23197
Half Precision Score
9717
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 03:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware m15 R4 |
| Motherboard | Alienware Alienware m15 R4 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10870H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5683
1.06 KIPS |
|
|
Image Classification (HP)
|
99% |
9616
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
4429
823.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8567
138.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11724
190.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7203
117.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
83581
97.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
235093
274.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
68518
80.3 IPS |
|
|
Object Detection (SP)
|
100% |
6581
522.0 IPS |
|
|
Object Detection (HP)
|
100% |
10846
860.3 IPS |
|
|
Object Detection (Q)
|
85% |
5056
407.0 IPS |
|
|
Face Detection (SP)
|
100% |
17305
205.6 IPS |
|
|
Face Detection (HP)
|
100% |
23108
274.6 IPS |
|
|
Face Detection (Q)
|
97% |
13505
161.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
40131
309.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71662
552.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
25260
202.2 IPS |
|
|
Style Transfer (SP)
|
100% |
135216
173.8 IPS |
|
|
Style Transfer (HP)
|
100% |
318318
409.2 IPS |
|
|
Style Transfer (Q)
|
98% |
108440
139.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24731
913.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33769
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13640
505.1 IPS |
|
|
Text Classification (SP)
|
100% |
2665
3.56 KIPS |
|
|
Text Classification (HP)
|
99% |
3284
4.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1135
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2551
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2685
46.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1186
22.3 IPS |
