MacBook Air (2022)
Geekbench AI Score
6372
Single Precision Score
7179
Half Precision Score
6765
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 12:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3351
623.1 IPS |
|
|
Image Classification (HP)
|
100% |
3228
600.2 IPS |
|
|
Image Classification (Q)
|
94% |
2935
548.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4862
78.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4989
80.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4728
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19931
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21903
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21237
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
3189
253.0 IPS |
|
|
Object Detection (Q)
|
91% |
3042
243.1 IPS |
|
|
Face Detection (SP)
|
100% |
9668
114.9 IPS |
|
|
Face Detection (HP)
|
100% |
10690
127.0 IPS |
|
|
Face Detection (Q)
|
100% |
9866
117.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13579
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14476
111.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13512
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36273
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40802
52.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39414
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7682
283.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8221
303.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7200
265.9 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
99% |
3832
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3832
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1557
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1545
26.7 IPS |
