Alienware Alienware m17 R4
Geekbench ML Score
10681
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 14 2025 01:23 AM |
| Views | 14 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m17 R4 |
| Motherboard | Alienware Alienware m17 R4 |
| Power Plan | Balanced |
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 256 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5136
961.1 IPS |
|
|
Image Classification (F16)
|
100% |
5277
987.4 IPS |
|
|
Image Classification (I8)
|
100% |
3945
738.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
6227
104.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
6639
110.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
5603
93.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
80268
97.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
78748
95.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
66479
80.5 IPS |
|
|
Object Detection (F32)
|
100% |
3625
270.6 IPS |
|
|
Object Detection (F16)
|
100% |
3583
267.5 IPS |
|
|
Object Detection (I8)
|
63% |
3144
234.7 IPS |
|
|
Face Detection (F32)
|
100% |
14159
168.4 IPS |
|
|
Face Detection (F16)
|
100% |
14311
170.2 IPS |
|
|
Face Detection (I8)
|
89% |
10678
127.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
35406
274.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
35523
275.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
26689
207.0 IPS |
|
|
Style Transfer (F32)
|
100% |
127458
167.7 IPS |
|
|
Style Transfer (F16)
|
100% |
126450
166.3 IPS |
|
|
Style Transfer (I8)
|
98% |
102901
135.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22605
807.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23037
822.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14205
507.3 IPS |
|
|
Text Classification (F32)
|
100% |
2006
2.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1939
2.79 KIPS |
|
|
Text Classification (I8)
|
98% |
972
1.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
2111
38.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2050
37.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1165
21.4 IPS |
