Mac mini (2024)
Geekbench AI Score
4873
Single Precision Score
36537
Half Precision Score
51929
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | April 05 2025 04:38 PM |
| Views | 5 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2102
391.0 IPS |
|
|
Image Classification (HP)
|
100% |
17189
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
25062
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21384
346.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30776
498.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123081
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232294
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
18380
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26346
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4396
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
42826
508.9 IPS |
|
|
Face Detection (Q)
|
100% |
61746
733.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8782
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99171
764.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167215
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
22348
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234817
301.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300092
387.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6119
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50225
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83265
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2870
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
6188
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6384
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4401
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16450
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18342
317.0 IPS |
