MacBook Air (15-inch, 2023)
Geekbench AI Score
3429
Single Precision Score
6004
Half Precision Score
4885
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | antinoos |
| Upload Date | June 16 2025 11:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.4 IPS |
|
|
Image Classification (Q)
|
96% |
1766
329.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2784
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6814
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15160
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12920
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2794
222.4 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.0 IPS |
|
|
Face Detection (SP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5874
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
3456
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5514
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10986
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7715
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18586
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28941
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23982
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3950
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3919
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6443
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6471
111.8 IPS |
