Mac16,10
Geekbench AI Score
4748
Single Precision Score
7833
Half Precision Score
6320
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brett2032 |
| Upload Date | November 12 2024 12:57 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
3289
611.7 IPS |
|
|
Image Classification (Q)
|
96% |
2308
430.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3168
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3643
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10103
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19067
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16534
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.6 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2742
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7661
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4488
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8333
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14752
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10284
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25407
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38399
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31816
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5884
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6879
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4793
177.0 IPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5596
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5469
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6902
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6938
119.9 IPS |
