Mac mini (2024)
Geekbench AI Score
4781
Single Precision Score
7874
Half Precision Score
6303
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | justinwkf |
| Upload Date | July 31 2025 04:26 PM |
| Views | 3 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.8 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3128
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3543
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9949
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19482
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16586
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4162
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7316
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4300
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8581
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14536
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10141
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21511
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38560
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31580
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7275
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5085
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5431
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5402
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7218
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7244
125.2 IPS |
