MacBook Air (2022)
Geekbench AI Score
3308
Single Precision Score
25712
Half Precision Score
28363
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | nartowick |
| Upload Date | January 27 2026 12:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
13171
2.45 KIPS |
|
|
Image Classification (Q)
|
96% |
15571
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18808
304.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23304
377.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6310
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
105167
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104847
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.8 IPS |
|
|
Object Detection (HP)
|
99% |
15001
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16477
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
32297
383.8 IPS |
|
|
Face Detection (Q)
|
100% |
40789
484.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5412
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
82709
637.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
98088
766.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18053
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
198749
255.5 IPS |
|
|
Style Transfer (Q)
|
96% |
189618
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3698
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40899
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46379
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3860
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3821
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3612
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3856
66.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3998
69.1 IPS |
