MacBook Air (2022)
Geekbench AI Score
3068
Single Precision Score
26142
Half Precision Score
28770
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:27 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1190
221.3 IPS |
|
|
Image Classification (HP)
|
100% |
13904
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15768
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19062
309.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23327
378.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5569
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
104045
121.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105514
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (HP)
|
99% |
15789
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17006
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2626
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
31122
369.8 IPS |
|
|
Face Detection (Q)
|
100% |
46402
551.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5148
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
77866
599.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
90812
710.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14777
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
168173
216.2 IPS |
|
|
Style Transfer (Q)
|
96% |
145942
188.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2462
90.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33560
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45939
1.70 KIPS |
|
|
Text Classification (SP)
|
99% |
4206
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6427
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6295
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3311
57.2 IPS |
