MacBook Air (2022)
Geekbench AI Score
6343
Single Precision Score
7127
Half Precision Score
6499
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | bkelly |
| Upload Date | August 04 2025 02:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
3302
614.1 IPS |
|
|
Image Classification (HP)
|
100% |
3220
598.9 IPS |
|
|
Image Classification (Q)
|
96% |
2977
555.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4775
77.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4920
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4671
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19693
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21907
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21243
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
3229
256.2 IPS |
|
|
Object Detection (HP)
|
100% |
3326
263.8 IPS |
|
|
Object Detection (Q)
|
92% |
2910
232.3 IPS |
|
|
Face Detection (SP)
|
100% |
9276
110.2 IPS |
|
|
Face Detection (HP)
|
100% |
10509
124.9 IPS |
|
|
Face Detection (Q)
|
100% |
8604
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13653
105.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15226
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14033
109.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36167
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40703
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39580
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7962
294.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8677
320.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7380
272.5 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1140
19.7 IPS |
