Mac mini (2024)
Geekbench AI Score
9914
Single Precision Score
11440
Half Precision Score
10862
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | callearvid |
| Upload Date | November 29 2025 03:46 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
4660
866.6 IPS |
|
|
Image Classification (HP)
|
100% |
4991
928.2 IPS |
|
|
Image Classification (Q)
|
96% |
4785
893.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7593
123.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8094
131.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7836
127.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29676
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31792
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31414
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4872
386.5 IPS |
|
|
Object Detection (HP)
|
100% |
5408
428.9 IPS |
|
|
Object Detection (Q)
|
92% |
4986
398.0 IPS |
|
|
Face Detection (SP)
|
100% |
12769
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
16287
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
13679
162.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21545
166.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23266
179.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
21192
165.5 IPS |
|
|
Style Transfer (SP)
|
100% |
61361
78.9 IPS |
|
|
Style Transfer (HP)
|
100% |
70749
90.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69463
89.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12675
468.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12264
452.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10873
401.5 IPS |
|
|
Text Classification (SP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5396
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2769
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3118
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3181
55.0 IPS |
