Mac mini (M4) CPU Mac16,10
Geekbench AI Score
4743
Single Precision Score
7789
Half Precision Score
6319
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 19 2024 11:50 AM |
| Views | 7 |
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% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
3256
605.6 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3210
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3667
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10070
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19051
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16610
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2742
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7531
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4513
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8424
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14825
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10365
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25411
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38654
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32039
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5787
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6794
250.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4783
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5358
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5325
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6910
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6904
119.3 IPS |
