MacBook Neo (13-inch, A18 Pro) Mac17,5
Geekbench AI Score
4518
Single Precision Score
32882
Half Precision Score
44778
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2026 05:32 AM |
| Views | 7 |
| Notes | MacBook Neo (13-inch, A18 Pro)/8GBメモリ/256GB SSD/Magic Keyboard |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,5 |
| Model ID | Mac17,5 |
| Motherboard | Mac17,5 |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | Apple A18 Pro |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2117
393.8 IPS |
|
|
Image Classification (HP)
|
100% |
13769
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
19007
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18293
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24117
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7920
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
136295
159.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
279828
328.0 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
100% |
15524
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21132
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
41123
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
57712
685.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7596
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93086
717.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
147209
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
19649
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
242294
311.5 IPS |
|
|
Style Transfer (Q)
|
96% |
294363
379.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5054
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50670
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75060
2.77 KIPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6270
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6092
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4531
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9411
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10457
180.7 IPS |
