MacBook Air (15-inch, 2023)
Geekbench AI Score
6651
Single Precision Score
7407
Half Precision Score
6552
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | The-Idle-Crow |
| Upload Date | March 07 2025 11:10 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3628
674.8 IPS |
|
|
Image Classification (HP)
|
100% |
3626
674.3 IPS |
|
|
Image Classification (Q)
|
97% |
2977
555.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4045
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5049
81.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5094
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24634
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26329
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24483
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3335
264.5 IPS |
|
|
Object Detection (HP)
|
100% |
3690
292.7 IPS |
|
|
Object Detection (Q)
|
91% |
3059
244.5 IPS |
|
|
Face Detection (SP)
|
100% |
10454
124.2 IPS |
|
|
Face Detection (HP)
|
100% |
11944
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
8412
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16680
128.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17830
137.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14843
116.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42815
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48616
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45446
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9771
360.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10157
375.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7959
293.9 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3721
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
764
13.2 IPS |
