MacBook Air (15-inch, 2023)
Geekbench AI Score
2264
Single Precision Score
3771
Half Precision Score
3009
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | elnoyo |
| Upload Date | December 03 2024 01:16 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
886
164.7 IPS |
|
|
Image Classification (HP)
|
100% |
1536
285.7 IPS |
|
|
Image Classification (Q)
|
96% |
1050
196.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1731
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4151
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
9356
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8015
9.39 IPS |
|
|
Object Detection (SP)
|
100% |
1020
80.9 IPS |
|
|
Object Detection (HP)
|
97% |
1800
143.3 IPS |
|
|
Object Detection (Q)
|
94% |
1258
100.2 IPS |
|
|
Face Detection (SP)
|
100% |
2185
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3803
45.2 IPS |
|
|
Face Detection (Q)
|
100% |
2145
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3644
28.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7368
57.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
5028
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11702
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17740
22.8 IPS |
|
|
Style Transfer (Q)
|
96% |
14548
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2665
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3051
112.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2254
83.2 IPS |
|
|
Text Classification (SP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2399
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3934
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3921
67.8 IPS |
