MacBook Air (2022)
Geekbench AI Score
5655
Single Precision Score
6321
Half Precision Score
6323
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:59 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3116
579.5 IPS |
|
|
Image Classification (HP)
|
100% |
2970
552.3 IPS |
|
|
Image Classification (Q)
|
94% |
1799
336.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3590
58.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4350
70.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4291
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15943
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20340
23.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
19127
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2382
189.0 IPS |
|
|
Object Detection (HP)
|
100% |
1909
151.4 IPS |
|
|
Object Detection (Q)
|
91% |
2988
238.8 IPS |
|
|
Face Detection (SP)
|
100% |
8655
102.8 IPS |
|
|
Face Detection (HP)
|
100% |
9639
114.5 IPS |
|
|
Face Detection (Q)
|
100% |
7170
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12448
95.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13598
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10036
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16430
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28538
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36580
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6997
258.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6863
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6734
248.6 IPS |
|
|
Text Classification (SP)
|
99% |
4029
5.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6466
8.63 KIPS |
|
|
Text Classification (Q)
|
92% |
6341
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2063
35.6 IPS |
