MacBook Air (2022)
Geekbench AI Score
3480
Single Precision Score
6270
Half Precision Score
5097
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | cwebb15 |
| Upload Date | April 06 2026 09:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
1290
239.8 IPS |
|
|
Image Classification (HP)
|
100% |
2520
468.7 IPS |
|
|
Image Classification (Q)
|
96% |
1755
327.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1428
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2758
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6167
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
14788
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12667
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
97% |
2805
223.3 IPS |
|
|
Object Detection (Q)
|
94% |
2038
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5979
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3471
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5333
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10940
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7681
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17893
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28637
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23705
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3660
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4640
171.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3484
128.7 IPS |
|
|
Text Classification (SP)
|
99% |
4251
5.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6710
8.96 KIPS |
|
|
Text Classification (Q)
|
92% |
6692
8.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6414
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6428
111.1 IPS |
