MacBook Air (15-inch, 2025) Mac16,13
Geekbench AI Score
4824
Single Precision Score
7892
Half Precision Score
6338
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rmckayfleming |
| Upload Date | April 09 2025 06:02 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
3339
621.0 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3111
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3579
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19529
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16643
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4135
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
7374
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4331
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8567
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14594
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10228
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21628
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38390
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31655
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6099
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7204
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5039
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3092
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7236
125.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7117
123.0 IPS |
