MacBook Air (15-inch, 2023)
Geekbench AI Score
3362
Single Precision Score
5979
Half Precision Score
4823
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ibragimov |
| Upload Date | July 27 2025 05:17 AM |
| Views | 9 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
2463
458.0 IPS |
|
|
Image Classification (Q)
|
96% |
1680
313.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2740
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6723
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
15181
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12991
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
97% |
2791
222.2 IPS |
|
|
Object Detection (Q)
|
94% |
1951
155.5 IPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
5838
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3460
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5490
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10940
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7704
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18583
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29012
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23915
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3982
147.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5036
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3668
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3920
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6428
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6374
110.1 IPS |
