MacBook Air (2022)
Geekbench AI Score
7284
Single Precision Score
8082
Half Precision Score
7711
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 07:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
3846
715.2 IPS |
|
|
Image Classification (HP)
|
100% |
3749
697.1 IPS |
|
|
Image Classification (Q)
|
96% |
3521
657.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5747
93.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5730
92.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5703
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24638
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26812
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26174
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
3590
284.8 IPS |
|
|
Object Detection (HP)
|
100% |
3737
296.4 IPS |
|
|
Object Detection (Q)
|
92% |
3480
277.8 IPS |
|
|
Face Detection (SP)
|
100% |
10436
124.0 IPS |
|
|
Face Detection (HP)
|
100% |
12282
145.9 IPS |
|
|
Face Detection (Q)
|
100% |
10217
121.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16001
123.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18233
140.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
16829
131.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42995
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49222
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47502
61.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9881
364.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10393
383.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9103
336.1 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1383
23.9 IPS |
