MacBook Air (2022)
Geekbench AI Score
3324
Single Precision Score
27639
Half Precision Score
31038
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:11 PM |
| 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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1263
234.9 IPS |
|
|
Image Classification (HP)
|
100% |
13966
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
15999
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19318
313.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24456
396.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6009
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
100427
117.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106327
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (HP)
|
99% |
15903
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17679
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2888
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
33218
394.7 IPS |
|
|
Face Detection (Q)
|
100% |
44960
534.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5194
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86898
669.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
104944
821.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17222
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
199179
256.0 IPS |
|
|
Style Transfer (Q)
|
96% |
183391
236.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3380
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41234
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49180
1.82 KIPS |
|
|
Text Classification (SP)
|
99% |
4051
5.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6507
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6436
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4120
71.2 IPS |
