MacBook Air (2022)
Geekbench AI Score
1817
Single Precision Score
21781
Half Precision Score
23563
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:46 AM |
| Views | 9 |
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 | 1.87 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
684
127.3 IPS |
|
|
Image Classification (HP)
|
100% |
6914
1.29 KIPS |
|
|
Image Classification (Q)
|
97% |
8192
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
9564
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19642
318.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2183
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
106193
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
100528
117.8 IPS |
|
|
Object Detection (SP)
|
100% |
974
77.2 IPS |
|
|
Object Detection (HP)
|
99% |
15484
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
16953
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2098
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
30434
361.6 IPS |
|
|
Face Detection (Q)
|
100% |
46467
552.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2536
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
66835
514.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
65400
511.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12166
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
201212
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
173600
224.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3492
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32991
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22595
834.3 IPS |
|
|
Text Classification (SP)
|
99% |
1538
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4485
5.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6326
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3650
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2552
44.1 IPS |
