Mac16,10
Geekbench AI Score
9681
Single Precision Score
11725
Half Precision Score
10935
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 11:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| 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% |
4765
886.1 IPS |
|
|
Image Classification (HP)
|
100% |
5225
971.6 IPS |
|
|
Image Classification (Q)
|
96% |
4783
893.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7523
122.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8386
135.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8053
130.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
28702
33.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
33011
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32137
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4858
385.3 IPS |
|
|
Object Detection (HP)
|
100% |
5360
425.1 IPS |
|
|
Object Detection (Q)
|
92% |
5019
400.6 IPS |
|
|
Face Detection (SP)
|
100% |
12700
150.9 IPS |
|
|
Face Detection (HP)
|
100% |
17279
205.3 IPS |
|
|
Face Detection (Q)
|
100% |
13797
163.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21008
161.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23694
182.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21707
169.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59779
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72046
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
69617
89.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12134
448.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12704
469.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10832
400.0 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5600
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3019
52.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3123
54.0 IPS |
