Apple Inc. MacBookPro11,3 Windows 11 Apple Inc. MacBookPro11,3
Geekbench ML Score
837
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Old_Wombat |
| Upload Date | December 06 2024 07:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacBookPro11,3 |
| Motherboard | Apple Inc. Mac-2BD1B31983FE1663 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4980HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 70 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| L4 Cache | 128 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
417
78.0 IPS |
|
|
Image Classification (F16)
|
100% |
449
84.1 IPS |
|
|
Image Classification (I8)
|
97% |
615
115.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
350
5.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
394
6.58 IPS |
|
|
Image Segmentation (I8)
|
97% |
532
8.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
1036
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
1128
1.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
1817
2.20 IPS |
|
|
Object Detection (F32)
|
100% |
438
32.7 IPS |
|
|
Object Detection (F16)
|
100% |
432
32.3 IPS |
|
|
Object Detection (I8)
|
60% |
438
32.7 IPS |
|
|
Face Detection (F32)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (F16)
|
100% |
1180
14.0 IPS |
|
|
Face Detection (I8)
|
87% |
1322
15.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1481
11.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1470
11.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
1841
14.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2773
3.65 IPS |
|
|
Style Transfer (F16)
|
100% |
2842
3.74 IPS |
|
|
Style Transfer (I8)
|
85% |
3758
4.94 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
704
25.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
480
17.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
870
31.1 IPS |
|
|
Text Classification (F32)
|
100% |
593
851.9 IPS |
|
|
Text Classification (F16)
|
100% |
515
740.0 IPS |
|
|
Text Classification (I8)
|
94% |
400
575.2 IPS |
|
|
Machine Translation (F32)
|
100% |
719
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
687
12.6 IPS |
|
|
Machine Translation (I8)
|
67% |
866
15.9 IPS |
