Mac mini (2024)
Geekbench AI Score
4684
Single Precision Score
38005
Half Precision Score
54273
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 02:06 AM |
| Views | 2 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2029
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
18898
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
28901
5.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22386
362.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30686
497.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9728
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122155
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
230890
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2387
189.3 IPS |
|
|
Object Detection (HP)
|
100% |
19856
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
26908
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3900
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
45246
537.6 IPS |
|
|
Face Detection (Q)
|
100% |
63773
757.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8476
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99094
763.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
169592
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
20414
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237053
304.7 IPS |
|
|
Style Transfer (Q)
|
96% |
302914
390.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5939
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50258
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86876
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
7088
9.46 KIPS |
|
|
Text Classification (Q)
|
93% |
7844
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
4285
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16183
278.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18028
311.5 IPS |
