Mac mini (2024)
Geekbench AI Score
8443
Single Precision Score
10196
Half Precision Score
9165
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | konopek1971 |
| Upload Date | March 12 2025 04:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4773
887.7 IPS |
|
|
Image Classification (HP)
|
100% |
5009
931.5 IPS |
|
|
Image Classification (Q)
|
97% |
4368
815.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4948
80.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7132
115.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7574
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29815
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32217
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30566
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4968
394.1 IPS |
|
|
Object Detection (HP)
|
100% |
5519
437.8 IPS |
|
|
Object Detection (Q)
|
91% |
4696
375.3 IPS |
|
|
Face Detection (SP)
|
100% |
13154
156.3 IPS |
|
|
Face Detection (HP)
|
100% |
16226
192.8 IPS |
|
|
Face Detection (Q)
|
100% |
12385
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21466
165.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23770
183.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20057
156.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58768
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72008
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
68116
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12660
467.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13334
492.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10866
401.2 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5245
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5389
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
889
15.4 IPS |
