MacBook Air (2022)
Geekbench AI Score
6523
Single Precision Score
6932
Half Precision Score
6434
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 05:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
3640
677.0 IPS |
|
|
Image Classification (HP)
|
100% |
3576
665.0 IPS |
|
|
Image Classification (Q)
|
97% |
2941
548.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4061
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5012
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5072
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24530
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26306
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24414
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3390
268.9 IPS |
|
|
Object Detection (HP)
|
100% |
2552
202.4 IPS |
|
|
Object Detection (Q)
|
91% |
3050
243.7 IPS |
|
|
Face Detection (SP)
|
100% |
9789
116.3 IPS |
|
|
Face Detection (HP)
|
100% |
10543
125.3 IPS |
|
|
Face Detection (Q)
|
100% |
8280
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16708
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17788
137.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
14402
112.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42435
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48544
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45496
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9862
364.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10127
373.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7953
293.7 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3845
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3783
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (Q)
|
98% |
671
11.6 IPS |
