MacBook Air (15-inch, 2023)
Geekbench AI Score
3327
Single Precision Score
6065
Half Precision Score
4929
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | December 19 2025 11:04 PM |
| Views | 6 |
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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
2543
473.0 IPS |
|
|
Image Classification (Q)
|
96% |
1769
330.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2802
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6310
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15073
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12894
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
97% |
2818
224.4 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6014
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3512
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5440
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11027
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7712
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18043
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28301
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23452
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5018
185.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3735
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3910
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3631
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7027
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6999
120.9 IPS |
