MacBook Air (15-inch, 2023)
Geekbench AI Score
3304
Single Precision Score
26933
Half Precision Score
29626
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | lidw950401 |
| Upload Date | October 30 2025 01:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
15012
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15494
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19773
320.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23728
384.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6301
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
103516
120.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106869
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
99% |
15839
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17312
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
34278
407.3 IPS |
|
|
Face Detection (Q)
|
100% |
43562
517.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5348
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87784
676.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111622
872.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18065
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205861
264.6 IPS |
|
|
Style Transfer (Q)
|
96% |
196692
253.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39349
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46892
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4106
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3921
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3621
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4124
71.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4355
75.3 IPS |
