MacBook Air (2022)
Geekbench AI Score
3392
Single Precision Score
27627
Half Precision Score
30872
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:48 PM |
| Views | 8 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1279
237.9 IPS |
|
|
Image Classification (HP)
|
100% |
13811
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
15771
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19523
316.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24568
398.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6064
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
105984
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105180
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
99% |
15757
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17503
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2940
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
34868
414.3 IPS |
|
|
Face Detection (Q)
|
100% |
46625
554.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5245
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86326
665.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109358
855.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17454
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202393
260.2 IPS |
|
|
Style Transfer (Q)
|
96% |
189751
244.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3598
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38780
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44890
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3956
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6132
8.18 KIPS |
|
|
Text Classification (Q)
|
92% |
6105
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3509
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3971
68.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4158
71.8 IPS |
