Mac16,10
Geekbench AI Score
4721
Single Precision Score
7805
Half Precision Score
6308
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | cyberspider |
| Upload Date | March 30 2025 05:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
3258
605.9 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3164
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3619
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10069
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19033
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16555
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2294
182.0 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2730
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7439
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4475
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8359
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14744
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10308
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25347
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38471
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31849
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5810
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6887
254.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4775
176.3 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5342
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3939
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7067
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7003
121.0 IPS |
