MacBook Air (2022)
Geekbench AI Score
3315
Single Precision Score
27649
Half Precision Score
30764
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 09:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
13729
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
15440
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19352
313.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24087
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5982
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
106639
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105793
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.0 IPS |
|
|
Object Detection (HP)
|
99% |
15566
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17889
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
34793
413.4 IPS |
|
|
Face Detection (Q)
|
100% |
46140
548.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5117
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
85924
662.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110640
865.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17039
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201668
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
190737
246.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3594
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41395
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45595
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3982
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
6185
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6036
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3304
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3836
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4027
69.6 IPS |
