MacBook Pro 13-inch, 2018 (Coffee) MacBook Pro (13-inch Mid 2018)
Geekbench AI Score
702
Single Precision Score
88
Half Precision Score
73
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | noderaser |
| Upload Date | June 01 2025 06:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8259U |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2291
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
447
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
854
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
662
7.87 IPS |
|
|
Face Detection (Q)
|
100% |
277
3.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
1026
7.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
722
5.56 IPS |
|
|
Depth Estimation (Q)
|
85% |
509
3.98 IPS |
|
|
Style Transfer (SP)
|
100% |
2921
3.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1756
2.26 IPS |
|
|
Style Transfer (Q)
|
96% |
1520
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
400
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
271
10.0 IPS |
|
|
Text Classification (SP)
|
100% |
383
510.8 IPS |
|
|
Text Classification (HP)
|
100% |
386
514.8 IPS |
|
|
Text Classification (Q)
|
93% |
382
512.6 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.38 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.12 IPS |
|
|
Machine Translation (Q)
|
98% |
469
8.10 IPS |
