MacBook Air M4 Mac16,13
Geekbench AI Score
4846
Single Precision Score
7860
Half Precision Score
6370
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | MaverickCougar |
| Upload Date | May 29 2025 06:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
3315
616.5 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3212
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3658
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9951
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19394
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16672
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4222
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7352
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4359
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8635
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14630
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10239
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21576
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38663
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31926
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6123
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7142
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5029
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3102
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5436
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5597
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4368
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7171
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7194
124.3 IPS |
