MacBook Air (15-inch, 2023)
Geekbench AI Score
3302
Single Precision Score
5898
Half Precision Score
4742
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | June 10 2025 02:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2458
457.0 IPS |
|
|
Image Classification (Q)
|
96% |
1723
321.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2717
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6773
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
15136
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13021
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.4 IPS |
|
|
Object Detection (HP)
|
97% |
2752
219.1 IPS |
|
|
Object Detection (Q)
|
94% |
1979
157.7 IPS |
|
|
Face Detection (SP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5786
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3439
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5341
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10850
83.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7641
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17974
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29035
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23930
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3987
147.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5045
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3701
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3712
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3615
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6055
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5670
98.0 IPS |
