MacBook Air (15-inch, 2023)
Geekbench AI Score
3472
Single Precision Score
5957
Half Precision Score
4839
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rennsport |
| Upload Date | April 07 2025 10:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.7 IPS |
|
|
Image Classification (Q)
|
96% |
1766
329.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2862
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6873
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14860
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12766
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2862
227.9 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6005
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3504
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5745
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11639
90.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8042
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18624
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28396
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23635
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4856
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3588
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3793
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3780
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5785
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5875
101.5 IPS |
