MacBook Air (2022)
Geekbench AI Score
6395
Single Precision Score
7161
Half Precision Score
6732
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 18 2026 12:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3406
633.4 IPS |
|
|
Image Classification (HP)
|
100% |
3279
609.9 IPS |
|
|
Image Classification (Q)
|
96% |
2963
553.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4834
78.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4946
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4778
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19991
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22011
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21359
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3191
253.1 IPS |
|
|
Object Detection (HP)
|
100% |
3128
248.1 IPS |
|
|
Object Detection (Q)
|
92% |
3002
239.6 IPS |
|
|
Face Detection (SP)
|
100% |
9406
111.8 IPS |
|
|
Face Detection (HP)
|
100% |
10426
123.9 IPS |
|
|
Face Detection (Q)
|
100% |
8699
103.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13751
105.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15211
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13907
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35955
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39912
51.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39564
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7879
291.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8483
313.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7319
270.3 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3897
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1544
26.7 IPS |
