MacBook Air (15-inch, 2023)
Geekbench AI Score
3221
Single Precision Score
4758
Half Precision Score
4097
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 16 2024 12:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
281.9 IPS |
|
|
Image Classification (HP)
|
100% |
1924
357.9 IPS |
|
|
Image Classification (Q)
|
96% |
1454
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1860
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6134
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14640
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12721
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2266
180.4 IPS |
|
|
Object Detection (Q)
|
94% |
1743
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
4372
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2855
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5389
41.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8619
66.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6532
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17213
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27060
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22690
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3634
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3594
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3216
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2826
48.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4553
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4554
78.7 IPS |
