MacBook Air (15-inch, 2023)
Geekbench AI Score
3413
Single Precision Score
26698
Half Precision Score
29685
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Serpadu |
| Upload Date | September 11 2025 12:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
14664
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
15393
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19640
318.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24104
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6813
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
105631
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106504
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
15614
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17579
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
33249
395.1 IPS |
|
|
Face Detection (Q)
|
100% |
42106
500.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5518
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87555
674.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
107991
843.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18588
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203827
262.0 IPS |
|
|
Style Transfer (Q)
|
96% |
194327
250.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3947
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39748
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51359
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3822
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3807
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4298
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4428
76.5 IPS |
