MacBook Air (15-inch, 2023)
Geekbench AI Score
3202
Single Precision Score
5763
Half Precision Score
4605
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 10:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2510
466.7 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2524
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6860
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14886
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12902
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2849
226.8 IPS |
|
|
Object Detection (Q)
|
94% |
2068
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5975
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3446
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11350
87.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8009
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18675
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28506
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23692
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4900
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3511
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
1349
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3485
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2937
50.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4982
86.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4553
78.7 IPS |
