MacBook Air (2022)
Geekbench AI Score
3361
Single Precision Score
27531
Half Precision Score
31032
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:03 PM |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
13957
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
15309
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18911
306.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24019
389.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6112
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
106229
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106519
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (HP)
|
99% |
16075
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
17545
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
34815
413.7 IPS |
|
|
Face Detection (Q)
|
100% |
46755
555.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5218
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
77308
595.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
104697
819.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17371
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
199598
256.6 IPS |
|
|
Style Transfer (Q)
|
96% |
187911
242.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3611
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40455
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48689
1.80 KIPS |
|
|
Text Classification (SP)
|
99% |
4062
5.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6475
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6513
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3945
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4132
71.4 IPS |
