Mac mini (2024)
Geekbench AI Score
9937
Single Precision Score
11525
Half Precision Score
10928
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Peritus |
| Upload Date | August 05 2025 10:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
4667
867.9 IPS |
|
|
Image Classification (HP)
|
100% |
4983
926.7 IPS |
|
|
Image Classification (Q)
|
96% |
4716
880.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7647
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7927
128.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7880
127.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29419
34.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31740
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31376
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4818
382.2 IPS |
|
|
Object Detection (HP)
|
100% |
5417
429.7 IPS |
|
|
Object Detection (Q)
|
92% |
4973
397.0 IPS |
|
|
Face Detection (SP)
|
100% |
12954
153.9 IPS |
|
|
Face Detection (HP)
|
100% |
16639
197.7 IPS |
|
|
Face Detection (Q)
|
100% |
14193
168.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21495
165.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23189
178.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
21290
166.3 IPS |
|
|
Style Transfer (SP)
|
100% |
61230
78.7 IPS |
|
|
Style Transfer (HP)
|
100% |
70996
91.3 IPS |
|
|
Style Transfer (Q)
|
96% |
69070
89.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12297
454.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12252
452.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11050
408.0 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5487
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5640
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3308
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3221
55.7 IPS |
