MacBook Air M4 (15-inch) Mac16,13
Geekbench AI Score
4677
Single Precision Score
7631
Half Precision Score
6186
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 04:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
3328
618.9 IPS |
|
|
Image Classification (Q)
|
96% |
2281
426.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3160
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3555
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9901
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19412
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16505
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.6 IPS |
|
|
Object Detection (HP)
|
97% |
3644
290.1 IPS |
|
|
Object Detection (Q)
|
94% |
2596
207.0 IPS |
|
|
Face Detection (SP)
|
100% |
3791
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
6600
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
4020
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8215
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14201
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9831
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21308
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37917
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31476
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5966
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7244
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5063
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5377
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6431
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6984
120.7 IPS |
