MacBook Air (15-inch, 2023)
Geekbench AI Score
3293
Single Precision Score
5982
Half Precision Score
4906
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | galois1811 |
| Upload Date | December 14 2025 02:11 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1276
237.3 IPS |
|
|
Image Classification (HP)
|
100% |
2445
454.7 IPS |
|
|
Image Classification (Q)
|
96% |
1726
322.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2792
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6321
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
15021
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12843
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (HP)
|
97% |
2783
221.5 IPS |
|
|
Object Detection (Q)
|
94% |
2037
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6018
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3523
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5464
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10941
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7747
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18037
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28181
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23502
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5002
184.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3743
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3869
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6807
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6900
119.2 IPS |
