MacBook Air (15-inch, 2023)
Geekbench AI Score
3495
Single Precision Score
6360
Half Precision Score
5136
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mduncanvm |
| Upload Date | March 13 2026 04:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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 | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
2554
474.9 IPS |
|
|
Image Classification (Q)
|
96% |
1773
331.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2776
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6200
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
15250
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13084
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1430
113.4 IPS |
|
|
Object Detection (HP)
|
97% |
2797
222.7 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6064
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3512
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5388
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11082
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7816
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17995
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29419
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24335
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5031
185.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3731
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6292
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6090
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6439
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6411
110.8 IPS |
