MacBook Air (15-inch, 2023)
Geekbench AI Score
3451
Single Precision Score
5946
Half Precision Score
4821
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | October 24 2024 10:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.5 IPS |
|
|
Image Classification (Q)
|
96% |
1767
330.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2870
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6854
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14813
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12782
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2885
229.7 IPS |
|
|
Object Detection (Q)
|
94% |
2093
166.8 IPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6033
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3524
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5698
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11715
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8101
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18662
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28543
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23792
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4812
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3563
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
2182
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3638
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3607
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5886
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5728
99.0 IPS |
