MacBook Air (M5, 13-inch, 2026) Mac17,3
Geekbench AI Score
12260
Single Precision Score
22739
Half Precision Score
23771
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | 0x1ac |
| Upload Date | March 11 2026 05:31 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5626
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
9900
1.84 KIPS |
|
|
Image Classification (Q)
|
99% |
10299
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8496
137.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13937
225.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14486
234.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
31501
36.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
85570
99.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105386
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
5856
464.5 IPS |
|
|
Object Detection (HP)
|
100% |
10277
815.2 IPS |
|
|
Object Detection (Q)
|
94% |
11096
884.7 IPS |
|
|
Face Detection (SP)
|
100% |
17738
210.8 IPS |
|
|
Face Detection (HP)
|
100% |
33136
393.7 IPS |
|
|
Face Detection (Q)
|
100% |
31032
368.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25539
196.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
46441
357.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
48222
376.5 IPS |
|
|
Style Transfer (SP)
|
100% |
67355
86.6 IPS |
|
|
Style Transfer (HP)
|
100% |
149781
192.5 IPS |
|
|
Style Transfer (Q)
|
96% |
183279
236.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13726
506.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27604
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27195
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5543
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5642
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6820
117.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8638
148.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7847
135.6 IPS |
