MacBook Air (15-inch, 2023)
Geekbench AI Score
7388
Single Precision Score
8185
Half Precision Score
7743
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | December 19 2025 11:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3695
687.2 IPS |
|
|
Image Classification (HP)
|
100% |
3737
694.9 IPS |
|
|
Image Classification (Q)
|
96% |
3402
635.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5735
93.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5905
95.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5676
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24451
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26635
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26022
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3532
280.1 IPS |
|
|
Object Detection (HP)
|
100% |
3638
288.5 IPS |
|
|
Object Detection (Q)
|
92% |
3499
279.3 IPS |
|
|
Face Detection (SP)
|
100% |
10307
122.5 IPS |
|
|
Face Detection (HP)
|
100% |
12045
143.1 IPS |
|
|
Face Detection (Q)
|
100% |
10095
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16633
128.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18277
140.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16657
130.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43051
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49031
63.0 IPS |
|
|
Style Transfer (Q)
|
96% |
47642
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9888
365.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10206
376.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8892
328.3 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4003
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3928
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1575
27.2 IPS |
