MacBook Air M4 Seqouia 15.7.3 Mac16,13
Geekbench AI Score
4820
Single Precision Score
7924
Half Precision Score
6394
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MacXe4ro |
| Upload Date | December 16 2025 01:22 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2101
390.8 IPS |
|
|
Image Classification (HP)
|
100% |
3339
620.9 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3145
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3594
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10002
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19402
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16707
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
97% |
3784
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2718
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
4243
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7599
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4511
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8653
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14677
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10277
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21591
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38629
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32006
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6120
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7207
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5699
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5633
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4377
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7159
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7194
124.3 IPS |
