Mac mini (2024)
Geekbench AI Score
9940
Single Precision Score
11846
Half Precision Score
10956
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 07:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4755
884.3 IPS |
|
|
Image Classification (HP)
|
100% |
5266
979.3 IPS |
|
|
Image Classification (Q)
|
96% |
4639
866.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7567
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8401
136.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8045
130.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28766
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33024
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32121
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4852
384.8 IPS |
|
|
Object Detection (HP)
|
100% |
5410
429.1 IPS |
|
|
Object Detection (Q)
|
92% |
5042
402.5 IPS |
|
|
Face Detection (SP)
|
100% |
12797
152.1 IPS |
|
|
Face Detection (HP)
|
100% |
16589
197.1 IPS |
|
|
Face Detection (Q)
|
100% |
13895
165.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20962
161.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23530
181.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
21703
169.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59174
76.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72765
93.5 IPS |
|
|
Style Transfer (Q)
|
96% |
69701
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12015
443.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12433
459.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10743
396.7 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5977
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5792
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3012
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3154
54.5 IPS |
