MacBook Air (15-inch, 2023)
Geekbench AI Score
3411
Single Precision Score
5915
Half Precision Score
4851
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Serpadu |
| Upload Date | September 11 2025 12:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1360
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
2437
453.2 IPS |
|
|
Image Classification (Q)
|
96% |
1716
320.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2242
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2783
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6803
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15218
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12999
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2727
217.1 IPS |
|
|
Object Detection (Q)
|
94% |
1991
158.7 IPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5880
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3420
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5509
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10869
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7677
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18561
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28922
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23888
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3942
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4981
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3707
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3909
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6413
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6436
111.2 IPS |
