MacBook Air (15-inch, 2023)
Geekbench AI Score
3258
Single Precision Score
6047
Half Precision Score
4891
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 01:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Air (15-inch, 2023) |
| Model ID | Mac14,15 |
| Motherboard | Mac14,15 |
| 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% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
2504
465.7 IPS |
|
|
Image Classification (Q)
|
96% |
1746
326.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2783
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6239
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
15083
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13051
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
97% |
2793
222.3 IPS |
|
|
Object Detection (Q)
|
94% |
2039
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
2829
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
5930
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3457
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5394
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10874
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7683
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17749
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28394
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22994
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5024
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3735
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3952
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3831
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6999
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6946
120.0 IPS |
