Mac mini (2024)
Geekbench AI Score
9920
Single Precision Score
11501
Half Precision Score
10836
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 10 2025 02:57 AM |
| Views | 8 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4766
886.3 IPS |
|
|
Image Classification (HP)
|
100% |
5054
939.9 IPS |
|
|
Image Classification (Q)
|
96% |
4820
900.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7580
122.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8041
130.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7957
129.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29472
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31763
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31412
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4828
383.0 IPS |
|
|
Object Detection (HP)
|
100% |
5443
431.7 IPS |
|
|
Object Detection (Q)
|
92% |
5003
399.4 IPS |
|
|
Face Detection (SP)
|
100% |
12983
154.3 IPS |
|
|
Face Detection (HP)
|
100% |
16621
197.5 IPS |
|
|
Face Detection (Q)
|
100% |
13669
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21582
166.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23264
179.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
21490
167.9 IPS |
|
|
Style Transfer (SP)
|
100% |
61464
79.0 IPS |
|
|
Style Transfer (HP)
|
100% |
70753
91.0 IPS |
|
|
Style Transfer (Q)
|
96% |
69060
89.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12532
462.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12384
457.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10956
404.6 IPS |
|
|
Text Classification (SP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5422
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5362
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2724
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3110
53.8 IPS |
