MacBook Air (2022)
Geekbench AI Score
5576
Single Precision Score
6247
Half Precision Score
5462
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Horizontal42 |
| Upload Date | March 22 2025 03:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2999
557.7 IPS |
|
|
Image Classification (HP)
|
100% |
2922
543.5 IPS |
|
|
Image Classification (Q)
|
97% |
2364
441.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3159
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3856
62.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3885
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17769
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19410
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
18045
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2908
230.6 IPS |
|
|
Object Detection (HP)
|
100% |
2969
235.5 IPS |
|
|
Object Detection (Q)
|
91% |
2413
192.8 IPS |
|
|
Face Detection (SP)
|
100% |
8354
99.3 IPS |
|
|
Face Detection (HP)
|
100% |
9327
110.8 IPS |
|
|
Face Detection (Q)
|
100% |
6542
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12360
95.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13344
102.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11253
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32851
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37013
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34520
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7116
262.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7513
277.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5925
218.8 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3773
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3766
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1044
18.0 IPS |
