MacBook Air (2022)
Geekbench AI Score
7267
Single Precision Score
8197
Half Precision Score
7537
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | OliJWalker |
| Upload Date | January 06 2026 03:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3720
691.8 IPS |
|
|
Image Classification (HP)
|
100% |
3608
670.9 IPS |
|
|
Image Classification (Q)
|
94% |
3279
612.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5750
93.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5931
96.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5665
91.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24471
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26971
31.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
25903
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3388
268.7 IPS |
|
|
Object Detection (HP)
|
100% |
3699
293.4 IPS |
|
|
Object Detection (Q)
|
90% |
3475
277.8 IPS |
|
|
Face Detection (SP)
|
100% |
10700
127.1 IPS |
|
|
Face Detection (HP)
|
100% |
12520
148.8 IPS |
|
|
Face Detection (Q)
|
100% |
10167
120.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16665
128.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18154
139.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
16519
129.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42230
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49555
63.7 IPS |
|
|
Style Transfer (Q)
|
96% |
47503
61.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9688
357.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10015
369.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8882
328.0 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3857
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3793
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1317
22.8 IPS |
