MacBook Air (15-inch, 2023)
Geekbench AI Score
2013
Single Precision Score
11789
Half Precision Score
13358
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | KenTang |
| Upload Date | February 12 2025 06:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1169
217.3 IPS |
|
|
Image Classification (HP)
|
100% |
7186
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
7591
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5024
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8259
133.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5912
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
87150
101.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
87909
103.0 IPS |
|
|
Object Detection (SP)
|
100% |
1258
99.7 IPS |
|
|
Object Detection (HP)
|
99% |
8492
675.5 IPS |
|
|
Object Detection (Q)
|
93% |
8787
701.2 IPS |
|
|
Face Detection (SP)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
11199
133.1 IPS |
|
|
Face Detection (Q)
|
100% |
13187
156.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3842
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
49230
379.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
60047
469.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10395
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
138445
178.0 IPS |
|
|
Style Transfer (Q)
|
95% |
126135
162.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2794
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19204
709.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25491
941.3 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.1 IPS |
|
|
Text Classification (HP)
|
100% |
552
737.3 IPS |
|
|
Text Classification (Q)
|
93% |
615
825.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2386
41.2 IPS |
