Mac mini (2024)
Geekbench AI Score
4823
Single Precision Score
7903
Half Precision Score
6348
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | hytham |
| Upload Date | July 06 2025 10:47 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac mini (2024) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.2 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3181
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3600
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9936
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19444
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16669
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
3787
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4165
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7424
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4365
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8621
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14559
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10251
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21775
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38639
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31913
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6117
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7190
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4993
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5603
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4376
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7195
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7159
123.7 IPS |
