MacBook Air (2022)
Geekbench AI Score
3364
Single Precision Score
27546
Half Precision Score
31009
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:12 PM |
| Views | 10 |
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 | 2.77 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (HP)
|
100% |
13967
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
15791
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19561
317.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24449
396.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5953
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
102195
119.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104818
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
99% |
15588
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17446
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
34646
411.7 IPS |
|
|
Face Detection (Q)
|
100% |
46503
552.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5211
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85525
658.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
110488
864.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17366
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
199817
256.9 IPS |
|
|
Style Transfer (Q)
|
96% |
188631
243.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40541
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46330
1.71 KIPS |
|
|
Text Classification (SP)
|
99% |
3997
5.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6039
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6275
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3987
68.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4133
71.4 IPS |
