MacBook Air (2022)
Geekbench AI Score
3159
Single Precision Score
27642
Half Precision Score
31186
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 11:12 AM |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1228
228.4 IPS |
|
|
Image Classification (HP)
|
100% |
13302
2.47 KIPS |
|
|
Image Classification (Q)
|
97% |
15860
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19494
316.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24203
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6011
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
105847
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104997
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.4 IPS |
|
|
Object Detection (HP)
|
99% |
15800
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17803
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
34783
413.3 IPS |
|
|
Face Detection (Q)
|
100% |
46783
555.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5195
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86293
664.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
111245
870.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17340
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203830
262.0 IPS |
|
|
Style Transfer (Q)
|
96% |
191783
247.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3605
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40574
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48204
1.78 KIPS |
|
|
Text Classification (SP)
|
99% |
3967
5.30 KIPS |
|
|
Text Classification (HP)
|
99% |
6161
8.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6096
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3928
67.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4136
71.5 IPS |
