MacBook Pro (13-inch Mid 2018)
Geekbench ML Score
706
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 16 2024 09:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (13-inch Mid 2018) |
| Model ID | MacBookPro15,2 |
| Motherboard | Apple Inc. Mac-827FB448E656EC26 MacBookPro15,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8259U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.30 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
639
119.5 IPS |
|
|
Image Classification (F16)
|
100% |
424
79.4 IPS |
|
|
Image Classification (I8)
|
99% |
444
83.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
182
3.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
182
3.05 IPS |
|
|
Image Segmentation (I8)
|
100% |
190
3.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
5806
7.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
9532
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9909
12.0 IPS |
|
|
Object Detection (F32)
|
100% |
512
38.2 IPS |
|
|
Object Detection (F16)
|
100% |
494
36.9 IPS |
|
|
Object Detection (I8)
|
97% |
547
40.9 IPS |
|
|
Face Detection (F32)
|
100% |
1759
20.9 IPS |
|
|
Face Detection (F16)
|
99% |
1473
17.5 IPS |
|
|
Face Detection (I8)
|
99% |
1651
19.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
978
7.58 IPS |
|
|
Depth Estimation (F16)
|
100% |
942
7.30 IPS |
|
|
Depth Estimation (I8)
|
37% |
915
7.09 IPS |
|
|
Style Transfer (F32)
|
100% |
1929
2.54 IPS |
|
|
Style Transfer (F16)
|
100% |
1896
2.49 IPS |
|
|
Style Transfer (I8)
|
100% |
1894
2.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
474
16.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
474
16.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
470
16.8 IPS |
|
|
Text Classification (F32)
|
100% |
130
187.1 IPS |
|
|
Text Classification (F16)
|
100% |
137
197.1 IPS |
|
|
Text Classification (I8)
|
92% |
166
238.9 IPS |
|
|
Machine Translation (F32)
|
100% |
442
8.13 IPS |
|
|
Machine Translation (F16)
|
100% |
350
6.43 IPS |
|
|
Machine Translation (I8)
|
99% |
434
7.99 IPS |
