Mac mini (2024)
Geekbench AI Score
5781
Single Precision Score
37079
Half Precision Score
49922
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | JootecFromMars |
| Upload Date | November 08 2025 02:53 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2151
400.1 IPS |
|
|
Image Classification (HP)
|
100% |
17837
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
21282
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23016
373.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32707
530.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17459
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122720
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
229861
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.2 IPS |
|
|
Object Detection (HP)
|
100% |
20018
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23946
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5095
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
44240
525.7 IPS |
|
|
Face Detection (Q)
|
100% |
63029
748.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8828
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104747
807.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
176733
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30889
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237529
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
325645
420.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6953
256.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48651
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77825
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5990
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16289
280.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16285
281.4 IPS |
