MacBook Air (15-inch, M5, 2026)/M5 Mac17,4
Geekbench AI Score
5240
Single Precision Score
41925
Half Precision Score
57800
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2026 05:51 AM |
| Views | 76 |
| Notes | MacBook Air (15-inch, M5, 2026)/M5/16GB/512GBSSD/10 Core GPU |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2292
426.2 IPS |
|
|
Image Classification (HP)
|
100% |
18473
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
24650
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24047
389.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33112
536.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11031
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178027
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
329793
386.5 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
18111
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26451
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4704
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
47411
563.3 IPS |
|
|
Face Detection (Q)
|
100% |
66337
788.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9101
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111038
855.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177008
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27473
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271369
348.8 IPS |
|
|
Style Transfer (Q)
|
96% |
373611
482.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5913
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63477
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101024
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
7289
9.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6931
9.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5062
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17724
305.3 IPS |
|
|
Machine Translation (Q)
|
98% |
19031
328.9 IPS |
