MacBook Air (2022)
Geekbench AI Score
7359
Single Precision Score
8205
Half Precision Score
7574
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | OliJWalker |
| Upload Date | January 06 2026 03:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
3636
676.3 IPS |
|
|
Image Classification (HP)
|
100% |
3675
683.4 IPS |
|
|
Image Classification (Q)
|
94% |
3317
619.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5761
93.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5936
96.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5656
91.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24667
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26706
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25969
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3603
285.8 IPS |
|
|
Object Detection (HP)
|
100% |
3693
292.9 IPS |
|
|
Object Detection (Q)
|
90% |
3475
277.9 IPS |
|
|
Face Detection (SP)
|
100% |
10713
127.3 IPS |
|
|
Face Detection (HP)
|
100% |
12530
148.9 IPS |
|
|
Face Detection (Q)
|
100% |
10294
122.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16810
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18109
139.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
17102
133.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42313
54.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49260
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47543
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9707
358.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10367
382.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8907
328.9 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3708
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3738
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1498
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1318
22.8 IPS |
