Mac mini (2024)
Geekbench AI Score
9174
Single Precision Score
11082
Half Precision Score
10043
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Zawacchi |
| Upload Date | February 23 2025 12:49 PM |
| Views | 2 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4743
882.0 IPS |
|
|
Image Classification (HP)
|
100% |
5016
932.8 IPS |
|
|
Image Classification (Q)
|
97% |
4350
811.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4827
78.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6959
112.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7604
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29841
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32103
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30544
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4973
394.5 IPS |
|
|
Object Detection (HP)
|
100% |
5428
430.6 IPS |
|
|
Object Detection (Q)
|
91% |
4653
371.8 IPS |
|
|
Face Detection (SP)
|
100% |
12707
151.0 IPS |
|
|
Face Detection (HP)
|
100% |
16497
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
12238
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21621
166.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23782
183.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20349
159.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58570
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72294
92.9 IPS |
|
|
Style Transfer (Q)
|
96% |
67598
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12447
459.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13581
501.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10880
401.8 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5627
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2120
36.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2223
38.4 IPS |
