MacBook Air (2022)
Geekbench AI Score
6683
Single Precision Score
7324
Half Precision Score
6831
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | nartowick |
| Upload Date | January 27 2026 12:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3394
631.1 IPS |
|
|
Image Classification (HP)
|
100% |
3301
613.9 IPS |
|
|
Image Classification (Q)
|
96% |
3026
565.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4907
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4984
80.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4773
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20016
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
22108
25.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
21466
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3224
255.8 IPS |
|
|
Object Detection (HP)
|
100% |
3254
258.1 IPS |
|
|
Object Detection (Q)
|
92% |
2970
237.1 IPS |
|
|
Face Detection (SP)
|
100% |
9441
112.2 IPS |
|
|
Face Detection (HP)
|
100% |
10433
124.0 IPS |
|
|
Face Detection (Q)
|
100% |
8722
103.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13508
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15221
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13987
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36317
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40909
52.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39814
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7977
294.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8669
320.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7543
278.5 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3862
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3853
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1932
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1727
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1702
29.4 IPS |
