Mac mini (2024)
Geekbench AI Score
4738
Single Precision Score
38223
Half Precision Score
54151
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sarcoma |
| Upload Date | May 06 2025 03:02 AM |
| Views | 4 |
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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2038
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
18583
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
27004
5.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22458
364.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30778
498.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9728
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123729
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
233746
274.0 IPS |
|
|
Object Detection (SP)
|
100% |
2396
190.0 IPS |
|
|
Object Detection (HP)
|
100% |
19705
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
27844
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4107
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
45952
546.0 IPS |
|
|
Face Detection (Q)
|
100% |
65335
776.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8460
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
101680
783.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
174953
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
20759
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
239702
308.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304850
393.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5969
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51363
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
91047
3.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6618
8.83 KIPS |
|
|
Text Classification (Q)
|
93% |
6754
9.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4344
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17185
296.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18705
323.2 IPS |
