MacBook Air (15-inch, 2023)
Geekbench AI Score
2014
Single Precision Score
12096
Half Precision Score
12415
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | greedus |
| Upload Date | August 24 2024 12:03 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1147
213.4 IPS |
|
|
Image Classification (HP)
|
100% |
7471
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
7590
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5022
81.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5021
81.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5953
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
87351
101.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
87551
102.7 IPS |
|
|
Object Detection (SP)
|
100% |
1260
99.9 IPS |
|
|
Object Detection (HP)
|
99% |
8386
667.1 IPS |
|
|
Object Detection (Q)
|
93% |
8793
701.6 IPS |
|
|
Face Detection (SP)
|
100% |
2130
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
11090
131.8 IPS |
|
|
Face Detection (Q)
|
100% |
12701
150.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3621
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48841
376.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
53382
412.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10689
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
138132
177.6 IPS |
|
|
Style Transfer (Q)
|
100% |
137975
177.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2851
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19757
729.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24946
924.2 IPS |
|
|
Text Classification (SP)
|
100% |
462
617.3 IPS |
|
|
Text Classification (HP)
|
100% |
702
936.7 IPS |
|
|
Text Classification (Q)
|
93% |
540
725.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1641
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2352
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2353
40.7 IPS |
