Mac16,13
Geekbench AI Score
8202
Single Precision Score
9725
Half Precision Score
8546
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 12:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C2101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4595
854.5 IPS |
|
|
Image Classification (HP)
|
100% |
4815
895.4 IPS |
|
|
Image Classification (Q)
|
97% |
4129
770.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4829
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6698
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7094
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27908
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30018
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28558
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4701
372.8 IPS |
|
|
Object Detection (HP)
|
100% |
5214
413.6 IPS |
|
|
Object Detection (Q)
|
91% |
4413
352.6 IPS |
|
|
Face Detection (SP)
|
100% |
12747
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
15421
183.2 IPS |
|
|
Face Detection (Q)
|
100% |
11859
140.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20204
155.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22220
171.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19225
150.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55842
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67112
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62888
81.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11505
424.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12593
465.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10286
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5468
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5432
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
703
12.2 IPS |
