Mac mini (2024)
Geekbench AI Score
10387
Single Precision Score
12293
Half Precision Score
11439
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | qqice |
| Upload Date | June 05 2025 07:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4631
861.3 IPS |
|
|
Image Classification (HP)
|
100% |
4957
921.8 IPS |
|
|
Image Classification (Q)
|
96% |
4735
884.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7567
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8351
135.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8022
130.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29642
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31874
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31061
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
4882
387.2 IPS |
|
|
Object Detection (HP)
|
100% |
5441
431.6 IPS |
|
|
Object Detection (Q)
|
92% |
4957
395.7 IPS |
|
|
Face Detection (SP)
|
100% |
12718
151.1 IPS |
|
|
Face Detection (HP)
|
100% |
16257
193.2 IPS |
|
|
Face Detection (Q)
|
100% |
13567
161.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21407
164.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23778
183.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21734
169.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60104
77.3 IPS |
|
|
Style Transfer (HP)
|
100% |
71802
92.3 IPS |
|
|
Style Transfer (Q)
|
96% |
69081
89.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12321
455.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13677
505.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11345
418.9 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5510
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4824
83.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5251
90.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5216
90.1 IPS |
