MacBook Air (2022)
Geekbench AI Score
3307
Single Precision Score
26227
Half Precision Score
28953
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | by2me |
| Upload Date | March 15 2026 01:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
14356
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
16054
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19658
318.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24044
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6330
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
106560
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105057
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.7 IPS |
|
|
Object Detection (HP)
|
99% |
15743
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17834
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
34635
411.5 IPS |
|
|
Face Detection (Q)
|
100% |
44244
525.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5358
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
89233
687.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
109978
859.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18138
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204562
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
196224
253.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38912
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45073
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3314
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3381
58.4 IPS |
