Mac mini (2024)
Geekbench AI Score
9822
Single Precision Score
11622
Half Precision Score
11196
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TerrenceMiao |
| Upload Date | April 08 2025 04:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4642
863.2 IPS |
|
|
Image Classification (HP)
|
100% |
4957
921.9 IPS |
|
|
Image Classification (Q)
|
96% |
4787
893.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7560
122.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8015
129.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7899
128.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29342
34.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31861
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31082
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
4784
379.5 IPS |
|
|
Object Detection (HP)
|
100% |
5397
428.1 IPS |
|
|
Object Detection (Q)
|
92% |
4976
397.2 IPS |
|
|
Face Detection (SP)
|
100% |
12783
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
15942
189.4 IPS |
|
|
Face Detection (Q)
|
100% |
13367
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21470
165.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23895
184.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21586
168.8 IPS |
|
|
Style Transfer (SP)
|
100% |
61576
79.2 IPS |
|
|
Style Transfer (HP)
|
100% |
71824
92.3 IPS |
|
|
Style Transfer (Q)
|
96% |
69836
90.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12451
459.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13711
506.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11475
423.7 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5270
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2753
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4343
75.1 IPS |
