Mac mini (2024)
Geekbench AI Score
10518
Single Precision Score
12491
Half Precision Score
11591
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | tavcsor |
| Upload Date | January 02 2026 07:08 PM |
| Views | 4 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4761
885.4 IPS |
|
|
Image Classification (HP)
|
100% |
5187
964.7 IPS |
|
|
Image Classification (Q)
|
96% |
4647
867.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7572
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8473
137.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8106
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28785
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32998
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32094
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4889
387.8 IPS |
|
|
Object Detection (HP)
|
100% |
5392
427.7 IPS |
|
|
Object Detection (Q)
|
92% |
5015
400.3 IPS |
|
|
Face Detection (SP)
|
100% |
12853
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
17348
206.1 IPS |
|
|
Face Detection (Q)
|
100% |
13954
165.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21148
162.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23745
182.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
21347
166.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59243
76.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72196
92.8 IPS |
|
|
Style Transfer (Q)
|
96% |
70010
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12137
448.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12507
461.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10834
400.0 IPS |
|
|
Text Classification (SP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5884
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5897
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4990
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5403
93.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5423
93.7 IPS |
