Mac mini (2024)
Geekbench AI Score
5736
Single Precision Score
9330
Half Precision Score
7183
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jeremy2002 |
| Upload Date | June 10 2025 03:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2159
401.5 IPS |
|
|
Image Classification (HP)
|
100% |
3054
567.9 IPS |
|
|
Image Classification (Q)
|
96% |
2197
410.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3611
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3933
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17389
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34078
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26776
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
97% |
3918
311.9 IPS |
|
|
Object Detection (Q)
|
94% |
2781
221.7 IPS |
|
|
Face Detection (SP)
|
100% |
5034
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
8673
103.0 IPS |
|
|
Face Detection (Q)
|
100% |
4827
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8830
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15256
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9677
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30731
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
58197
74.8 IPS |
|
|
Style Transfer (Q)
|
96% |
44364
57.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7064
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9274
342.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5731
211.6 IPS |
|
|
Text Classification (SP)
|
100% |
2850
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5064
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5071
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5956
102.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9393
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9445
163.2 IPS |
