Mac mini (2024)
Geekbench AI Score
4768
Single Precision Score
37206
Half Precision Score
53157
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | battusujith |
| Upload Date | April 19 2025 06:02 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
17831
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
27504
5.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22145
359.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30320
491.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9734
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123282
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231410
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
18672
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26454
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4102
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
44545
529.3 IPS |
|
|
Face Detection (Q)
|
100% |
66476
789.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8609
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100031
770.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
171694
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21634
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
236774
304.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300280
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5989
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50902
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87141
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6527
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6667
8.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
15958
274.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17722
306.3 IPS |
