MacBook Air (2026) - M5 Mac17,3
Geekbench AI Score
5378
Single Precision Score
36168
Half Precision Score
45829
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tomhutchi |
| Upload Date | March 12 2026 02:56 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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% |
2236
415.8 IPS |
|
|
Image Classification (HP)
|
100% |
17635
3.28 KIPS |
|
|
Image Classification (Q)
|
99% |
20194
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18846
305.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
18804
304.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9883
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
166516
194.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
315627
370.2 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
100% |
17704
1.40 KIPS |
|
|
Object Detection (Q)
|
89% |
26907
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
5055
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
31140
370.0 IPS |
|
|
Face Detection (Q)
|
100% |
53811
639.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8794
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
93127
717.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
107947
834.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25210
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
192370
247.3 IPS |
|
|
Style Transfer (Q)
|
100% |
192676
247.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65149
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
95955
3.56 KIPS |
|
|
Text Classification (SP)
|
99% |
5532
7.38 KIPS |
|
|
Text Classification (HP)
|
100% |
6034
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6370
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5098
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17828
307.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18526
320.1 IPS |
