Mac mini (2024)
Geekbench AI Score
13716
Single Precision Score
15602
Half Precision Score
13799
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nautics |
| Upload Date | April 29 2025 02:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7145
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7323
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
6798
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11954
193.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12809
207.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12137
196.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
45952
53.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
48211
56.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
46880
54.9 IPS |
|
|
Object Detection (SP)
|
100% |
6409
508.4 IPS |
|
|
Object Detection (HP)
|
100% |
7143
566.5 IPS |
|
|
Object Detection (Q)
|
92% |
6401
510.9 IPS |
|
|
Face Detection (SP)
|
100% |
23383
277.8 IPS |
|
|
Face Detection (HP)
|
100% |
25451
302.4 IPS |
|
|
Face Detection (Q)
|
100% |
19452
231.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
30720
236.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32815
252.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
29589
231.4 IPS |
|
|
Style Transfer (SP)
|
100% |
104577
134.4 IPS |
|
|
Style Transfer (HP)
|
100% |
112510
144.6 IPS |
|
|
Style Transfer (Q)
|
96% |
110549
142.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16570
611.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17286
638.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15995
590.6 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5220
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5245
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2608
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1895
32.7 IPS |
