MacBook Air (15-inch, M5, 2026)/M5 Mac17,4
Geekbench AI Score
13439
Single Precision Score
24081
Half Precision Score
25379
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2026 05:49 AM |
| Views | 15 |
| Notes | MacBook Air (15-inch, M5, 2026)/M5/16GB/512GBSSD/10 Core GPU |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,4 |
| Model ID | Mac17,4 |
| Motherboard | Mac17,4 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6081
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10339
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
10461
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9977
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15391
249.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16578
268.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37417
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
90078
105.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
118151
138.5 IPS |
|
|
Object Detection (SP)
|
100% |
6329
502.0 IPS |
|
|
Object Detection (HP)
|
100% |
11178
886.6 IPS |
|
|
Object Detection (Q)
|
94% |
11698
932.7 IPS |
|
|
Face Detection (SP)
|
100% |
18804
223.4 IPS |
|
|
Face Detection (HP)
|
100% |
34788
413.4 IPS |
|
|
Face Detection (Q)
|
100% |
33392
396.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27621
212.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51110
393.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
55397
432.5 IPS |
|
|
Style Transfer (SP)
|
100% |
78159
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
163230
209.8 IPS |
|
|
Style Transfer (Q)
|
96% |
208028
268.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15372
567.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29916
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28394
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3066
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5525
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
6995
120.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8532
147.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7626
131.8 IPS |
