MacBook Air (M5, 13-inch, 2026) Mac17,3
Geekbench AI Score
5285
Single Precision Score
8538
Half Precision Score
6825
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | 0x1ac |
| Upload Date | March 11 2026 05:28 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,3 |
| Model ID | Mac17,3 |
| Motherboard | Mac17,3 |
| 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% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
3678
684.1 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3233
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3553
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11385
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20852
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17794
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
97% |
4220
335.9 IPS |
|
|
Object Detection (Q)
|
94% |
2956
235.6 IPS |
|
|
Face Detection (SP)
|
100% |
4815
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8497
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4781
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9014
69.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15256
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10567
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27443
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41305
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33848
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5974
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7150
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5207
192.3 IPS |
|
|
Text Classification (SP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5715
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5172
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9001
155.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9558
165.2 IPS |
