MacBook Air (15-inch, 2023)
Geekbench AI Score
7410
Single Precision Score
8132
Half Precision Score
7743
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | galois1811 |
| Upload Date | December 14 2025 03:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
3695
687.2 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.6 IPS |
|
|
Image Classification (Q)
|
96% |
3391
633.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5774
93.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5936
96.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5677
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24640
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26868
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
26031
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3550
281.6 IPS |
|
|
Object Detection (HP)
|
100% |
3623
287.3 IPS |
|
|
Object Detection (Q)
|
92% |
3477
277.6 IPS |
|
|
Face Detection (SP)
|
100% |
10561
125.5 IPS |
|
|
Face Detection (HP)
|
100% |
12190
144.8 IPS |
|
|
Face Detection (Q)
|
100% |
10123
120.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16896
130.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18206
140.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
16670
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43056
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49209
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47709
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9847
363.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10277
379.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8839
326.4 IPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1603
27.7 IPS |
