Mac mini (2024)
Geekbench AI Score
15431
Single Precision Score
17295
Half Precision Score
15554
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | coorelle |
| Upload Date | March 16 2025 12:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7520
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7914
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7039
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12198
197.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13046
211.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13364
216.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56764
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59126
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55877
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7162
568.1 IPS |
|
|
Object Detection (HP)
|
100% |
7778
617.0 IPS |
|
|
Object Detection (Q)
|
91% |
6457
515.9 IPS |
|
|
Face Detection (SP)
|
100% |
25894
307.7 IPS |
|
|
Face Detection (HP)
|
100% |
26806
318.5 IPS |
|
|
Face Detection (Q)
|
100% |
21316
253.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33657
259.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36662
282.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
29628
231.6 IPS |
|
|
Style Transfer (SP)
|
100% |
123621
158.9 IPS |
|
|
Style Transfer (HP)
|
100% |
135146
173.7 IPS |
|
|
Style Transfer (Q)
|
96% |
125475
161.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22950
847.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24890
919.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19711
727.8 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5204
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5315
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2837
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2932
50.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2943
50.9 IPS |
