MacBook Air M4 Mac16,13
Geekbench AI Score
8908
Single Precision Score
10350
Half Precision Score
9738
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | MaverickCougar |
| Upload Date | May 29 2025 06:05 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4444
826.4 IPS |
|
|
Image Classification (HP)
|
100% |
4750
883.3 IPS |
|
|
Image Classification (Q)
|
96% |
4492
838.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7165
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7733
125.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7581
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27873
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29761
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29404
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4574
362.8 IPS |
|
|
Object Detection (HP)
|
100% |
5163
409.5 IPS |
|
|
Object Detection (Q)
|
92% |
4760
380.0 IPS |
|
|
Face Detection (SP)
|
100% |
12672
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
16525
196.4 IPS |
|
|
Face Detection (Q)
|
100% |
13298
158.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20561
158.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21960
169.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20148
157.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57396
73.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66697
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64895
83.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11591
428.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11496
424.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10292
380.0 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5518
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1620
28.0 IPS |
