MacBook Air (2022)
Geekbench AI Score
3342
Single Precision Score
27239
Half Precision Score
31034
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 04:05 PM |
| Views | 14 |
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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1273
236.7 IPS |
|
|
Image Classification (HP)
|
100% |
13865
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
15971
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18651
302.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24246
393.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6070
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
106284
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104594
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (HP)
|
99% |
15606
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17654
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2791
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
33374
396.6 IPS |
|
|
Face Detection (Q)
|
100% |
46486
552.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5217
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82497
635.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
109877
859.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17152
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202796
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
184102
237.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40493
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47031
1.74 KIPS |
|
|
Text Classification (SP)
|
99% |
3983
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
6252
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6289
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4167
72.0 IPS |
