MacBook Pro 13-inch, 2018 (Coffee) MacBook Pro (13-inch Mid 2018)
Geekbench AI Score
769
Single Precision Score
779
Half Precision Score
371
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | noderaser |
| Upload Date | June 01 2025 06:56 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 655 |
| 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% |
580
107.8 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (Q)
|
96% |
128
23.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
143
2.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
5942
6.93 IPS |
|
|
Pose Estimation (HP)
|
99% |
9978
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
1451
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
567
44.9 IPS |
|
|
Object Detection (HP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (Q)
|
94% |
143
11.4 IPS |
|
|
Face Detection (SP)
|
100% |
1881
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (Q)
|
100% |
200
2.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
987
7.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
954
7.35 IPS |
|
|
Depth Estimation (Q)
|
85% |
922
7.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1977
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1948
2.50 IPS |
|
|
Style Transfer (Q)
|
96% |
1867
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
465
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
450
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.4 IPS |
|
|
Text Classification (HP)
|
100% |
234
311.7 IPS |
|
|
Text Classification (Q)
|
93% |
220
295.8 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.71 IPS |
|
|
Machine Translation (Q)
|
98% |
391
6.75 IPS |
