MacBook Air (15-inch, 2023)
Geekbench AI Score
7266
Single Precision Score
8244
Half Precision Score
7573
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Serpadu |
| Upload Date | September 11 2025 01:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
3678
684.1 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.6 IPS |
|
|
Image Classification (Q)
|
96% |
3439
642.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5709
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5865
95.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5597
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24614
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26810
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26085
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3668
291.0 IPS |
|
|
Object Detection (HP)
|
100% |
3762
298.4 IPS |
|
|
Object Detection (Q)
|
92% |
3385
270.2 IPS |
|
|
Face Detection (SP)
|
100% |
10292
122.3 IPS |
|
|
Face Detection (HP)
|
100% |
12079
143.5 IPS |
|
|
Face Detection (Q)
|
100% |
9984
118.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16801
129.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18153
139.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16567
129.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42062
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49345
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47709
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9752
360.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10285
379.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9013
332.8 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3944
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1302
22.5 IPS |
