MacBook Air (2022)
Geekbench AI Score
6505
Single Precision Score
7394
Half Precision Score
6786
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | kazukied2 |
| Upload Date | January 02 2026 06:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3417
635.5 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.3 IPS |
|
|
Image Classification (Q)
|
96% |
3086
576.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4868
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4969
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4745
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20006
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22123
25.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
21501
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
3295
261.4 IPS |
|
|
Object Detection (HP)
|
100% |
3364
266.8 IPS |
|
|
Object Detection (Q)
|
92% |
3079
245.8 IPS |
|
|
Face Detection (SP)
|
100% |
9097
108.1 IPS |
|
|
Face Detection (HP)
|
100% |
10533
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
8769
104.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14077
108.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15695
120.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
14430
112.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36458
46.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41310
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40176
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8249
304.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9112
336.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7795
287.8 IPS |
|
|
Text Classification (SP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3900
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3847
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1403
24.2 IPS |
