MacBook Air (15-inch, 2023)
Geekbench AI Score
3309
Single Precision Score
26082
Half Precision Score
29068
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | June 10 2025 02:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
13297
2.47 KIPS |
|
|
Image Classification (Q)
|
96% |
14941
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19141
310.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23456
380.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6721
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
104554
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105801
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1487
118.0 IPS |
|
|
Object Detection (HP)
|
99% |
15939
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17386
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
33084
393.1 IPS |
|
|
Face Detection (Q)
|
100% |
43488
516.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5341
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87406
673.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109076
852.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18192
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204700
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
193837
250.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3958
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42078
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49404
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2281
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3657
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3138
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3818
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4022
69.5 IPS |
