MacBook Air (2022)
Geekbench AI Score
2907
Single Precision Score
4922
Half Precision Score
4165
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | hsalsherif |
| Upload Date | December 17 2025 08:33 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.21 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1072
199.3 IPS |
|
|
Image Classification (HP)
|
100% |
1705
317.1 IPS |
|
|
Image Classification (Q)
|
96% |
1418
264.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2630
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5046
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
13901
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11846
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
97% |
2549
202.9 IPS |
|
|
Object Detection (Q)
|
94% |
1848
147.3 IPS |
|
|
Face Detection (SP)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
3787
45.0 IPS |
|
|
Face Detection (Q)
|
100% |
2493
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4233
32.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8265
63.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7304
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16818
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25259
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21834
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3685
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4820
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3405
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3745
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4512
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3804
65.7 IPS |
