Alienware Alienware m15 R3
Geekbench ML Score
2026
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 04:56 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m15 R3 |
| Motherboard | Alienware Alienware m15 R3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10875H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.30 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1263
236.3 IPS |
|
|
Image Classification (F16)
|
100% |
1162
217.5 IPS |
|
|
Image Classification (I8)
|
97% |
1833
343.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
999
16.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1243
20.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
1347
22.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3208
3.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
4505
5.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
8149
9.87 IPS |
|
|
Object Detection (F32)
|
100% |
1111
82.9 IPS |
|
|
Object Detection (F16)
|
100% |
742
55.4 IPS |
|
|
Object Detection (I8)
|
60% |
1095
81.7 IPS |
|
|
Face Detection (F32)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1690
20.1 IPS |
|
|
Face Detection (I8)
|
87% |
2499
29.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3928
30.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4161
32.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
7150
55.4 IPS |
|
|
Style Transfer (F32)
|
100% |
8828
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
9953
13.1 IPS |
|
|
Style Transfer (I8)
|
85% |
10445
13.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1781
63.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2110
75.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2169
77.5 IPS |
|
|
Text Classification (F32)
|
100% |
835
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
1037
1.49 KIPS |
|
|
Text Classification (I8)
|
94% |
270
388.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1223
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1365
25.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1459
26.9 IPS |
