Mac mini (2024)
Geekbench AI Score
5382
Single Precision Score
8983
Half Precision Score
6983
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nmolnar |
| Upload Date | June 01 2025 04:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
3019
561.4 IPS |
|
|
Image Classification (Q)
|
96% |
2172
405.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3587
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3894
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17101
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31350
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24129
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3830
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2679
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
4672
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
7924
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
4671
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8669
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14237
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10101
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25576
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49483
63.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38663
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5986
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10037
370.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5805
214.4 IPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5230
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5627
96.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9039
156.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9108
157.4 IPS |
