MacBook Neo Mac17,5
Geekbench AI Score
4966
Single Precision Score
8433
Half Precision Score
6680
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | techythomas |
| Upload Date | March 30 2026 12:36 AM |
| Views | 21 |
| Notes | Mac17,5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2094
389.4 IPS |
|
|
Image Classification (HP)
|
100% |
3522
654.9 IPS |
|
|
Image Classification (Q)
|
96% |
2350
438.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2916
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7846
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
17275
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15028
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.2 IPS |
|
|
Object Detection (HP)
|
97% |
3895
310.1 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4321
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
7600
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4265
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7617
58.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13954
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9490
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20932
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38886
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31373
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4886
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5046
186.3 IPS |
|
|
Text Classification (SP)
|
99% |
7171
9.57 KIPS |
|
|
Text Classification (HP)
|
99% |
11123
14.8 KIPS |
|
|
Text Classification (Q)
|
92% |
10623
14.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
4629
79.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8131
140.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8175
141.3 IPS |
