MacBook Neo (13-inch, A18 Pro) Mac17,5
Geekbench AI Score
7065
Single Precision Score
8284
Half Precision Score
7502
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2026 05:29 AM |
| Views | 8 |
| Notes | MacBook Neo (13-inch, A18 Pro)/8GBメモリ/256GB SSD/Magic Keyboard |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3346
622.2 IPS |
|
|
Image Classification (HP)
|
100% |
3553
660.8 IPS |
|
|
Image Classification (Q)
|
96% |
3422
639.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4263
69.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4584
74.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4389
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14257
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15897
18.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
15621
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3376
267.8 IPS |
|
|
Object Detection (HP)
|
100% |
3821
303.1 IPS |
|
|
Object Detection (Q)
|
91% |
3655
292.1 IPS |
|
|
Face Detection (SP)
|
100% |
9014
107.1 IPS |
|
|
Face Detection (HP)
|
100% |
11732
139.4 IPS |
|
|
Face Detection (Q)
|
100% |
10813
128.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12896
99.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14133
108.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13432
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31610
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36197
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35781
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7274
268.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7413
273.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6716
248.0 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6122
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6100
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4577
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5651
97.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3093
53.4 IPS |
