MacBook Air (15-inch, 2023)
Geekbench AI Score
3423
Single Precision Score
6020
Half Precision Score
4866
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | fsg |
| Upload Date | April 14 2026 10:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.7 IPS |
|
|
Image Classification (Q)
|
96% |
1758
328.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2751
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6805
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15137
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12902
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
97% |
2797
222.7 IPS |
|
|
Object Detection (Q)
|
94% |
2037
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5915
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3414
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5511
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10956
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7709
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18586
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28968
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23968
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3950
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5171
191.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3872
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6404
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6477
111.9 IPS |
