MacBook Air (2022)
Geekbench AI Score
3171
Single Precision Score
26226
Half Precision Score
28517
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
12763
2.37 KIPS |
|
|
Image Classification (Q)
|
97% |
15514
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18346
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23180
375.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5885
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
104537
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104830
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (HP)
|
99% |
15340
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
16557
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
2461
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
33893
402.7 IPS |
|
|
Face Detection (Q)
|
100% |
45593
541.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5019
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
80012
616.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
108450
848.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16176
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
189676
243.8 IPS |
|
|
Style Transfer (Q)
|
96% |
190173
245.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3458
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39847
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48536
1.79 KIPS |
|
|
Text Classification (SP)
|
99% |
3979
5.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5873
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3048
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2126
36.7 IPS |
