MacBook Pro (13-inch Mid 2018)
Geekbench ML Score
698
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 15 2024 07:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 16.00 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% |
566
106.0 IPS |
|
|
Image Classification (F16)
|
100% |
562
105.1 IPS |
|
|
Image Classification (I8)
|
99% |
536
100.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
195
3.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
191
3.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
5258
6.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
8999
10.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
8807
10.7 IPS |
|
|
Object Detection (F32)
|
100% |
540
40.3 IPS |
|
|
Object Detection (F16)
|
100% |
549
41.0 IPS |
|
|
Object Detection (I8)
|
97% |
544
40.6 IPS |
|
|
Face Detection (F32)
|
100% |
1763
21.0 IPS |
|
|
Face Detection (F16)
|
99% |
1683
20.0 IPS |
|
|
Face Detection (I8)
|
99% |
1675
19.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
873
6.77 IPS |
|
|
Depth Estimation (F16)
|
100% |
857
6.64 IPS |
|
|
Depth Estimation (I8)
|
37% |
834
6.46 IPS |
|
|
Style Transfer (F32)
|
100% |
1738
2.29 IPS |
|
|
Style Transfer (F16)
|
100% |
1703
2.24 IPS |
|
|
Style Transfer (I8)
|
100% |
1697
2.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
437
15.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
427
15.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
422
15.1 IPS |
|
|
Text Classification (F32)
|
100% |
153
219.8 IPS |
|
|
Text Classification (F16)
|
100% |
162
233.4 IPS |
|
|
Text Classification (I8)
|
92% |
145
208.2 IPS |
|
|
Machine Translation (F32)
|
100% |
385
7.08 IPS |
|
|
Machine Translation (F16)
|
100% |
341
6.28 IPS |
|
|
Machine Translation (I8)
|
99% |
428
7.88 IPS |
