MacBook Air (2022)
Geekbench AI Score
3282
Single Precision Score
26102
Half Precision Score
28635
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | korokoroomusubi |
| Upload Date | March 08 2026 01:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
14560
2.71 KIPS |
|
|
Image Classification (Q)
|
96% |
15696
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19674
318.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23824
386.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6308
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
106652
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105232
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.5 IPS |
|
|
Object Detection (HP)
|
99% |
15671
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17534
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
34320
407.8 IPS |
|
|
Face Detection (Q)
|
100% |
43584
517.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5312
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87276
672.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
108053
844.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17830
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203902
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
190927
246.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38935
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45491
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3985
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3910
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3598
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3237
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3360
58.1 IPS |
