MacBook Air (2022)
Geekbench AI Score
7197
Single Precision Score
7897
Half Precision Score
7294
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | cwebb15 |
| Upload Date | April 06 2026 09:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
3396
631.6 IPS |
|
|
Image Classification (HP)
|
100% |
3224
599.5 IPS |
|
|
Image Classification (Q)
|
94% |
3033
566.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4905
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4959
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4735
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19932
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21993
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21319
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3205
254.2 IPS |
|
|
Object Detection (HP)
|
100% |
3239
256.9 IPS |
|
|
Object Detection (Q)
|
91% |
3100
247.8 IPS |
|
|
Face Detection (SP)
|
100% |
9769
116.1 IPS |
|
|
Face Detection (HP)
|
100% |
10909
129.6 IPS |
|
|
Face Detection (Q)
|
100% |
9835
116.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13912
107.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15244
117.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14513
113.5 IPS |
|
|
Style Transfer (SP)
|
100% |
36255
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40910
52.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39717
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7855
290.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8483
313.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7329
270.6 IPS |
|
|
Text Classification (SP)
|
99% |
4244
5.67 KIPS |
|
|
Text Classification (HP)
|
100% |
6744
9.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6662
8.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2130
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1624
28.1 IPS |
