MacBook Neo (2026) - A18 Pro Mac17,5
Geekbench AI Score
3495
Single Precision Score
31757
Half Precision Score
45197
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tomhutchi |
| Upload Date | March 15 2026 11:49 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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% |
1848
343.7 IPS |
|
|
Image Classification (HP)
|
100% |
14206
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
20172
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1866
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14344
232.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19152
310.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4404
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
113726
132.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
249271
292.2 IPS |
|
|
Object Detection (SP)
|
100% |
1871
148.4 IPS |
|
|
Object Detection (HP)
|
100% |
15451
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
21193
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
2419
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
38113
452.9 IPS |
|
|
Face Detection (Q)
|
100% |
62469
742.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5127
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88346
680.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
150204
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
14281
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201914
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
281057
362.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51308
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76891
2.84 KIPS |
|
|
Text Classification (SP)
|
99% |
5310
7.09 KIPS |
|
|
Text Classification (HP)
|
100% |
9251
12.3 KIPS |
|
|
Text Classification (Q)
|
92% |
8853
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
3620
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9030
155.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9710
167.8 IPS |
