MacBook Air (2022)
Geekbench AI Score
3363
Single Precision Score
27844
Half Precision Score
31203
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 08:21 AM |
| Views | 9 |
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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
13576
2.52 KIPS |
|
|
Image Classification (Q)
|
97% |
15664
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19280
312.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24382
395.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6042
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
106512
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106153
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
15710
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17734
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
34660
411.8 IPS |
|
|
Face Detection (Q)
|
100% |
46836
556.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5183
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86160
663.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
109041
853.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17329
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202025
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
191628
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3639
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42608
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48465
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
6373
8.51 KIPS |
|
|
Text Classification (Q)
|
92% |
6277
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4088
70.6 IPS |
