Mac mini (2024)
Geekbench AI Score
4711
Single Precision Score
38499
Half Precision Score
53210
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | RAMFlux |
| Upload Date | March 18 2025 04:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.4 IPS |
|
|
Image Classification (HP)
|
100% |
18998
3.53 KIPS |
|
|
Image Classification (Q)
|
97% |
29046
5.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21891
354.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30517
494.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10027
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123704
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233523
273.7 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
18907
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26659
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
44624
530.2 IPS |
|
|
Face Detection (Q)
|
100% |
57765
686.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8290
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100804
776.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
175111
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
25243
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234293
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298547
385.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51538
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
92194
3.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
7968
10.6 KIPS |
|
|
Text Classification (Q)
|
93% |
6307
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16993
292.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18780
324.5 IPS |
