Mac mini (2024)
Geekbench AI Score
4839
Single Precision Score
37440
Half Precision Score
53051
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TerrenceMiao |
| Upload Date | April 08 2025 04:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
17474
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
28750
5.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21398
346.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30290
491.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9952
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123472
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231438
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
18373
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26142
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4325
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
44492
528.7 IPS |
|
|
Face Detection (Q)
|
100% |
64045
761.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8731
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99387
765.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167963
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21932
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232155
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
299699
386.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49817
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88918
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
7481
9.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6401
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4376
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16678
287.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18265
315.6 IPS |
