MacBook Air (2022)
Geekbench AI Score
6456
Single Precision Score
7121
Half Precision Score
6708
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | TTV |
| Upload Date | October 31 2025 10:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3323
618.0 IPS |
|
|
Image Classification (HP)
|
100% |
3222
599.2 IPS |
|
|
Image Classification (Q)
|
96% |
2954
551.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4878
79.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4958
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4736
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19966
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22011
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21388
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3188
252.9 IPS |
|
|
Object Detection (HP)
|
100% |
3135
248.6 IPS |
|
|
Object Detection (Q)
|
92% |
2957
236.0 IPS |
|
|
Face Detection (SP)
|
100% |
9401
111.7 IPS |
|
|
Face Detection (HP)
|
100% |
10477
124.5 IPS |
|
|
Face Detection (Q)
|
100% |
8758
104.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13796
106.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15164
116.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13911
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36222
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40727
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39635
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7945
293.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8449
312.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7318
270.2 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
3837
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3846
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1535
26.5 IPS |
