MacBook Air (2022)
Geekbench AI Score
6436
Single Precision Score
7168
Half Precision Score
6729
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 26 2025 02:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
3313
616.1 IPS |
|
|
Image Classification (HP)
|
100% |
3131
582.3 IPS |
|
|
Image Classification (Q)
|
96% |
3008
561.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4848
78.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4975
80.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4746
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19864
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21953
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21381
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3169
251.3 IPS |
|
|
Object Detection (HP)
|
100% |
3137
248.8 IPS |
|
|
Object Detection (Q)
|
92% |
2944
235.0 IPS |
|
|
Face Detection (SP)
|
100% |
9388
111.5 IPS |
|
|
Face Detection (HP)
|
100% |
10458
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
8725
103.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13813
106.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15169
116.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13997
109.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36214
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40663
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39610
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7847
289.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8481
313.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7297
269.5 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3893
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1542
26.6 IPS |
