MacBook Air (2022)
Geekbench AI Score
2953
Single Precision Score
24198
Half Precision Score
28340
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:55 AM |
| Views | 6 |
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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1219
226.7 IPS |
|
|
Image Classification (HP)
|
100% |
13845
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
15368
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19042
308.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24145
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5759
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
105288
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105478
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (HP)
|
99% |
15768
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17672
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2544
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
31998
380.2 IPS |
|
|
Face Detection (Q)
|
100% |
44967
534.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4515
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
82714
637.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
110169
861.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14025
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
100232
128.8 IPS |
|
|
Style Transfer (Q)
|
96% |
121316
156.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2512
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36738
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45876
1.69 KIPS |
|
|
Text Classification (SP)
|
99% |
4127
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5707
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5376
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2599
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2828
48.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3260
56.3 IPS |
