MacBook Air (2022)
Geekbench AI Score
3409
Single Precision Score
5997
Half Precision Score
4861
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Anthonh2317 |
| Upload Date | April 29 2025 07:05 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.0 IPS |
|
|
Image Classification (Q)
|
96% |
1754
327.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2788
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6798
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
15203
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12917
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2792
222.3 IPS |
|
|
Object Detection (Q)
|
94% |
2014
160.5 IPS |
|
|
Face Detection (SP)
|
100% |
2965
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5898
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
3437
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5388
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10878
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7694
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18253
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29210
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24146
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5003
184.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3713
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3719
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3774
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6454
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6483
112.0 IPS |
