MacBook Air (2022)
Geekbench AI Score
3046
Single Precision Score
26463
Half Precision Score
29589
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:15 PM |
| Views | 11 |
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 | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
14204
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
15769
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17994
291.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21293
345.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5712
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
104808
122.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104845
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
99% |
15049
1.20 KIPS |
|
|
Object Detection (Q)
|
89% |
16498
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
2047
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
26837
318.9 IPS |
|
|
Face Detection (Q)
|
100% |
40180
477.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4134
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
85272
657.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
109802
859.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15720
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
184001
236.5 IPS |
|
|
Style Transfer (Q)
|
96% |
170181
219.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3186
117.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40572
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47335
1.75 KIPS |
|
|
Text Classification (SP)
|
99% |
4152
5.54 KIPS |
|
|
Text Classification (HP)
|
99% |
6357
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6359
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3920
67.8 IPS |
