Mac16,13
Geekbench AI Score
4607
Single Precision Score
7697
Half Precision Score
6068
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | AGW2022 |
| Upload Date | December 28 2025 10:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.14 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1946
361.9 IPS |
|
|
Image Classification (HP)
|
100% |
3150
585.9 IPS |
|
|
Image Classification (Q)
|
96% |
2147
401.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2759
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8115
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
18248
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16122
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2347
186.1 IPS |
|
|
Object Detection (HP)
|
97% |
3678
292.8 IPS |
|
|
Object Detection (Q)
|
94% |
2592
206.6 IPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7249
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
4181
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8254
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13590
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9607
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20631
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37306
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30087
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7078
261.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4894
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4522
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7579
131.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7895
136.4 IPS |
