MacBook Pro (13-inch Mid 2018)
Geekbench AI Score
741
Single Precision Score
91
Half Precision Score
77
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | September 29 2025 09:14 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8559U |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | MacBook Pro (13-inch Mid 2018) |
| Model ID | MacBookPro15,2 |
| Motherboard | Apple Inc. Mac-827FB448E656EC26 MacBookPro15,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8559U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
322
59.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2395
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
457
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
740
8.80 IPS |
|
|
Face Detection (Q)
|
100% |
323
3.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
1025
7.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
733
5.65 IPS |
|
|
Depth Estimation (Q)
|
85% |
547
4.28 IPS |
|
|
Style Transfer (SP)
|
100% |
3118
4.01 IPS |
|
|
Style Transfer (HP)
|
100% |
1794
2.31 IPS |
|
|
Style Transfer (Q)
|
96% |
1584
2.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
290
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
430
574.6 IPS |
|
|
Text Classification (HP)
|
100% |
423
564.2 IPS |
|
|
Text Classification (Q)
|
93% |
439
588.9 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (Q)
|
98% |
511
8.82 IPS |
