Mac mini (2024)
Geekbench AI Score
9906
Single Precision Score
11755
Half Precision Score
10948
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | October 12 2025 05:17 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
4764
886.0 IPS |
|
|
Image Classification (HP)
|
100% |
5168
961.1 IPS |
|
|
Image Classification (Q)
|
96% |
4742
885.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7523
122.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8355
135.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7923
128.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28781
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32964
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32126
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4895
388.3 IPS |
|
|
Object Detection (HP)
|
100% |
5394
427.8 IPS |
|
|
Object Detection (Q)
|
92% |
5015
400.3 IPS |
|
|
Face Detection (SP)
|
100% |
12828
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
17203
204.4 IPS |
|
|
Face Detection (Q)
|
100% |
13768
163.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21081
162.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23585
181.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
21485
167.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59406
76.4 IPS |
|
|
Style Transfer (HP)
|
100% |
72576
93.3 IPS |
|
|
Style Transfer (Q)
|
96% |
69876
90.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11853
437.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12379
457.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10770
397.7 IPS |
|
|
Text Classification (SP)
|
100% |
3354
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5828
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2823
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3146
54.4 IPS |
