Mac mini (2024)
Geekbench AI Score
15047
Single Precision Score
17392
Half Precision Score
15290
Quantized Score
Geekbench AI 1.4.0 Corporate for macOS AArch64
Result Information
| Upload Date | June 25 2025 12:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7681
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
8200
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7062
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12005
194.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13039
211.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13378
216.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56433
65.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
59006
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55876
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7277
577.3 IPS |
|
|
Object Detection (HP)
|
100% |
7721
612.4 IPS |
|
|
Object Detection (Q)
|
91% |
6375
509.4 IPS |
|
|
Face Detection (SP)
|
100% |
25646
304.7 IPS |
|
|
Face Detection (HP)
|
100% |
28387
337.3 IPS |
|
|
Face Detection (Q)
|
100% |
20269
240.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33405
257.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
36038
277.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
29544
230.9 IPS |
|
|
Style Transfer (SP)
|
100% |
123321
158.5 IPS |
|
|
Style Transfer (HP)
|
100% |
134602
173.0 IPS |
|
|
Style Transfer (Q)
|
96% |
127498
164.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23109
853.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24851
917.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19575
722.8 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5201
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5176
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2922
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2683
46.4 IPS |
