Mac mini (2024)
Geekbench AI Score
9184
Single Precision Score
11088
Half Precision Score
10022
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | March 15 2025 07:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4706
875.1 IPS |
|
|
Image Classification (HP)
|
100% |
5081
944.9 IPS |
|
|
Image Classification (Q)
|
97% |
4371
815.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5007
81.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7077
114.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7702
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29813
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32132
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30528
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5006
397.1 IPS |
|
|
Object Detection (HP)
|
100% |
5439
431.4 IPS |
|
|
Object Detection (Q)
|
91% |
4633
370.2 IPS |
|
|
Face Detection (SP)
|
100% |
13049
155.1 IPS |
|
|
Face Detection (HP)
|
100% |
16553
196.7 IPS |
|
|
Face Detection (Q)
|
100% |
12323
146.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21555
166.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23600
181.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20193
157.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58931
75.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72277
92.9 IPS |
|
|
Style Transfer (Q)
|
96% |
67867
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12350
456.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13727
506.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10787
398.3 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5182
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5365
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1987
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2227
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2198
38.0 IPS |
