MacBook Air (2022)
Geekbench AI Score
6403
Single Precision Score
7094
Half Precision Score
6557
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | AdamOp |
| Upload Date | August 20 2025 08:20 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3322
617.8 IPS |
|
|
Image Classification (HP)
|
100% |
3190
593.2 IPS |
|
|
Image Classification (Q)
|
96% |
3015
563.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4838
78.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4943
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4716
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19905
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22094
25.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
21324
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3217
255.2 IPS |
|
|
Object Detection (HP)
|
100% |
3307
262.3 IPS |
|
|
Object Detection (Q)
|
92% |
2879
229.8 IPS |
|
|
Face Detection (SP)
|
100% |
9329
110.9 IPS |
|
|
Face Detection (HP)
|
100% |
10465
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
8649
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13896
107.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15358
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14053
109.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36189
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40736
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39680
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7818
288.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8505
314.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7270
268.4 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3820
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1257
21.7 IPS |
