Mac mini (2024)
Geekbench AI Score
9949
Single Precision Score
11731
Half Precision Score
11010
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | November 16 2025 10:27 PM |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4789
890.7 IPS |
|
|
Image Classification (HP)
|
100% |
5196
966.4 IPS |
|
|
Image Classification (Q)
|
96% |
4865
908.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7573
122.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8307
134.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7995
129.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28936
33.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33014
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32096
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4927
390.8 IPS |
|
|
Object Detection (HP)
|
100% |
5387
427.3 IPS |
|
|
Object Detection (Q)
|
92% |
5155
411.5 IPS |
|
|
Face Detection (SP)
|
100% |
12856
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
16138
191.8 IPS |
|
|
Face Detection (Q)
|
100% |
13893
165.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21138
162.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23567
181.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21444
167.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59653
76.7 IPS |
|
|
Style Transfer (HP)
|
100% |
72171
92.8 IPS |
|
|
Style Transfer (Q)
|
96% |
70498
91.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12352
456.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12678
468.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10855
400.8 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5762
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2807
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3097
53.5 IPS |
