MacBook Neo Mac17,5
Geekbench AI Score
4696
Single Precision Score
7971
Half Precision Score
6431
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | marcsteinberg |
| Upload Date | April 17 2026 07:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
3509
652.5 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2054
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2832
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6701
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
16495
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13769
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2395
190.0 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2627
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
4269
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7511
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4157
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7369
56.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13148
101.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9260
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20205
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37377
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30501
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4786
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6958
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5000
184.6 IPS |
|
|
Text Classification (SP)
|
99% |
6975
9.31 KIPS |
|
|
Text Classification (HP)
|
99% |
11043
14.7 KIPS |
|
|
Text Classification (Q)
|
92% |
10685
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8073
139.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8157
141.0 IPS |
