MacBook Air (2022)
Geekbench AI Score
2478
Single Precision Score
23278
Half Precision Score
26371
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (HP)
|
100% |
13714
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
15338
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15238
247.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23880
387.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4612
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
106180
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
85295
100.0 IPS |
|
|
Object Detection (SP)
|
100% |
945
75.0 IPS |
|
|
Object Detection (HP)
|
99% |
14434
1.15 KIPS |
|
|
Object Detection (Q)
|
89% |
12158
973.3 IPS |
|
|
Face Detection (SP)
|
100% |
2062
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
33762
401.2 IPS |
|
|
Face Detection (Q)
|
100% |
42021
499.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4085
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85155
656.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53548
418.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13076
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
196633
252.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191639
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3319
122.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27500
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44767
1.65 KIPS |
|
|
Text Classification (SP)
|
99% |
4272
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2701
3.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5794
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3830
66.2 IPS |
