MacBook Air (pro) Mac15,13
Geekbench AI Score
3965
Single Precision Score
6747
Half Precision Score
5462
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | neutrino06 |
| Upload Date | September 11 2025 06:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 3.86 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.6 IPS |
|
|
Image Classification (HP)
|
100% |
2766
514.3 IPS |
|
|
Image Classification (Q)
|
96% |
1921
358.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2722
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3061
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8487
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
16947
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14656
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1748
138.6 IPS |
|
|
Object Detection (HP)
|
97% |
3083
245.4 IPS |
|
|
Object Detection (Q)
|
94% |
2221
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6101
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3691
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6902
53.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12432
96.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8717
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21587
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33547
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27623
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4329
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5408
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5382
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3161
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6015
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5973
103.2 IPS |
