MacBook Air (2022)
Geekbench AI Score
3201
Single Precision Score
26603
Half Precision Score
30273
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:11 AM |
| Views | 13 |
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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1195
222.3 IPS |
|
|
Image Classification (HP)
|
100% |
13437
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
15033
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18579
301.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23658
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5771
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
105316
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105380
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1300
103.1 IPS |
|
|
Object Detection (HP)
|
99% |
15727
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
18050
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
34335
408.0 IPS |
|
|
Face Detection (Q)
|
100% |
43683
519.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4959
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
85871
661.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
109816
859.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16788
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
203154
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
188654
243.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3552
131.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42468
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49581
1.83 KIPS |
|
|
Text Classification (SP)
|
99% |
4088
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
6341
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6359
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2663
45.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3350
57.9 IPS |
