Mac mini (2024)
Geekbench AI Score
4840
Single Precision Score
7940
Half Precision Score
6387
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | August 30 2025 06:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2117
393.6 IPS |
|
|
Image Classification (HP)
|
100% |
3348
622.6 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3218
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3622
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9968
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19444
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16713
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2727
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7700
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4411
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8668
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14604
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10274
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21586
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38689
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31954
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6104
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7168
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5007
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5540
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4401
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7217
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7291
126.0 IPS |
