Mac mini (2024)
Geekbench AI Score
5750
Single Precision Score
36542
Half Precision Score
49281
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jimscard |
| Upload Date | June 27 2025 01:16 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2153
400.5 IPS |
|
|
Image Classification (HP)
|
100% |
17318
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
21821
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23421
379.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32868
532.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17373
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122232
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
227892
267.1 IPS |
|
|
Object Detection (SP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (HP)
|
100% |
19307
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23716
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
5044
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
43881
521.4 IPS |
|
|
Face Detection (Q)
|
100% |
62453
742.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8794
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
103867
800.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
173604
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
30566
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237028
304.7 IPS |
|
|
Style Transfer (Q)
|
96% |
326996
422.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7023
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49276
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76482
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5152
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5094
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5829
100.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16175
278.6 IPS |
|
|
Machine Translation (Q)
|
98% |
15780
272.7 IPS |
