MacBook Air (2022)
Geekbench AI Score
3342
Single Precision Score
27582
Half Precision Score
30667
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 07:28 AM |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
13901
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15237
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19143
310.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24079
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5996
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
105967
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106644
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
99% |
15568
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17654
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
34598
411.1 IPS |
|
|
Face Detection (Q)
|
100% |
46226
549.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5148
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84573
651.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
109748
858.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17169
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202249
260.0 IPS |
|
|
Style Transfer (Q)
|
96% |
190541
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40716
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45633
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
4017
5.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6243
8.33 KIPS |
|
|
Text Classification (Q)
|
92% |
5984
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3859
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4036
69.7 IPS |
