MacBook Air (15-inch, 2023)
Geekbench AI Score
3223
Single Precision Score
4813
Half Precision Score
4085
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | KenTang |
| Upload Date | February 12 2025 06:03 AM |
| Views | 7 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1519
282.5 IPS |
|
|
Image Classification (HP)
|
100% |
1923
357.6 IPS |
|
|
Image Classification (Q)
|
96% |
1452
271.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1866
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6116
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14574
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12595
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
97% |
2264
180.2 IPS |
|
|
Object Detection (Q)
|
94% |
1516
120.9 IPS |
|
|
Face Detection (SP)
|
100% |
2832
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
4403
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
2836
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5333
41.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8665
67.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6529
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17260
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27088
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22742
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3635
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3622
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3534
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4578
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4641
80.2 IPS |
