MacBook Air (2022)
Geekbench AI Score
3176
Single Precision Score
5641
Half Precision Score
4664
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | kazukied2 |
| Upload Date | January 02 2026 06:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1020
189.7 IPS |
|
|
Image Classification (HP)
|
100% |
2134
396.8 IPS |
|
|
Image Classification (Q)
|
96% |
1619
302.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2595
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6470
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
14738
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12567
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (HP)
|
97% |
2590
206.2 IPS |
|
|
Object Detection (Q)
|
94% |
1895
151.1 IPS |
|
|
Face Detection (SP)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
5502
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3240
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5271
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10439
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7354
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17763
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27614
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23418
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4816
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3604
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3937
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3912
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6036
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6200
107.1 IPS |
