MacBook Neo Mac17,5
Geekbench AI Score
7476
Single Precision Score
8755
Half Precision Score
7904
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | techythomas |
| Upload Date | March 30 2026 12:38 AM |
| Views | 20 |
| Notes | Mac17,5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
3275
609.0 IPS |
|
|
Image Classification (HP)
|
100% |
3586
667.0 IPS |
|
|
Image Classification (Q)
|
96% |
3415
637.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4204
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4572
74.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4392
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14075
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16156
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
15663
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3339
264.9 IPS |
|
|
Object Detection (HP)
|
100% |
3811
302.3 IPS |
|
|
Object Detection (Q)
|
91% |
3661
292.6 IPS |
|
|
Face Detection (SP)
|
100% |
9011
107.1 IPS |
|
|
Face Detection (HP)
|
100% |
11371
135.1 IPS |
|
|
Face Detection (Q)
|
100% |
10826
128.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12760
98.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14130
108.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13419
105.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31362
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36264
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
35610
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7246
267.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7416
273.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6762
249.7 IPS |
|
|
Text Classification (SP)
|
99% |
7113
9.49 KIPS |
|
|
Text Classification (HP)
|
99% |
10681
14.3 KIPS |
|
|
Text Classification (Q)
|
93% |
10762
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
4541
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5681
97.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2942
50.8 IPS |
