MacBook Air (2022)
Geekbench AI Score
2241
Single Precision Score
20499
Half Precision Score
23461
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:22 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 | 3.25 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1007
187.2 IPS |
|
|
Image Classification (HP)
|
100% |
11965
2.23 KIPS |
|
|
Image Classification (Q)
|
97% |
13001
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17835
289.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22460
364.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4564
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
73180
85.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66908
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (HP)
|
99% |
13920
1.11 KIPS |
|
|
Object Detection (Q)
|
89% |
15346
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
15649
185.9 IPS |
|
|
Face Detection (Q)
|
100% |
19954
237.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1139
8.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
41343
318.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
65846
515.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8623
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
161585
207.7 IPS |
|
|
Style Transfer (Q)
|
96% |
186747
241.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3457
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27925
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35290
1.30 KIPS |
|
|
Text Classification (SP)
|
99% |
4166
5.56 KIPS |
|
|
Text Classification (HP)
|
99% |
6217
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3053
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3467
59.9 IPS |
