MacBook Pro (13-inch Mid 2018)
Geekbench ML Score
711
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 16 2024 09:41 PM |
| Views | 3 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
549
102.7 IPS |
|
|
Image Classification (F16)
|
100% |
508
95.1 IPS |
|
|
Image Classification (I8)
|
99% |
444
83.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
202
3.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
192
3.21 IPS |
|
|
Image Segmentation (I8)
|
100% |
184
3.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
5806
7.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
9424
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9516
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
524
39.1 IPS |
|
|
Object Detection (F16)
|
100% |
494
36.9 IPS |
|
|
Object Detection (I8)
|
97% |
518
38.7 IPS |
|
|
Face Detection (F32)
|
100% |
1752
20.8 IPS |
|
|
Face Detection (F16)
|
99% |
1794
21.3 IPS |
|
|
Face Detection (I8)
|
99% |
1646
19.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
974
7.55 IPS |
|
|
Depth Estimation (F16)
|
100% |
957
7.42 IPS |
|
|
Depth Estimation (I8)
|
37% |
918
7.12 IPS |
|
|
Style Transfer (F32)
|
100% |
1925
2.53 IPS |
|
|
Style Transfer (F16)
|
100% |
1883
2.48 IPS |
|
|
Style Transfer (I8)
|
100% |
1893
2.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
480
17.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
476
17.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
469
16.8 IPS |
|
|
Text Classification (F32)
|
100% |
130
186.6 IPS |
|
|
Text Classification (F16)
|
100% |
136
195.2 IPS |
|
|
Text Classification (I8)
|
92% |
157
225.6 IPS |
|
|
Machine Translation (F32)
|
100% |
435
8.00 IPS |
|
|
Machine Translation (F16)
|
100% |
348
6.41 IPS |
|
|
Machine Translation (I8)
|
99% |
432
7.95 IPS |
