Mac mini (2024)
Geekbench AI Score
13751
Single Precision Score
15529
Half Precision Score
13899
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mrgnw |
| Upload Date | April 16 2025 05:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
6936
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7488
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
6756
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11977
194.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12883
208.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11984
194.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
46065
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
48189
56.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46857
54.9 IPS |
|
|
Object Detection (SP)
|
100% |
6404
507.9 IPS |
|
|
Object Detection (HP)
|
100% |
7180
569.5 IPS |
|
|
Object Detection (Q)
|
92% |
6363
507.9 IPS |
|
|
Face Detection (SP)
|
100% |
23499
279.2 IPS |
|
|
Face Detection (HP)
|
100% |
25149
298.8 IPS |
|
|
Face Detection (Q)
|
100% |
21392
254.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31123
239.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
32884
253.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
29653
231.9 IPS |
|
|
Style Transfer (SP)
|
100% |
104690
134.6 IPS |
|
|
Style Transfer (HP)
|
100% |
112781
145.0 IPS |
|
|
Style Transfer (Q)
|
96% |
110590
142.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16588
612.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17185
634.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15799
583.4 IPS |
|
|
Text Classification (SP)
|
100% |
2895
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5319
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5163
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2684
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2867
49.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1948
33.7 IPS |
