Mac mini (2024)
Geekbench AI Score
4843
Single Precision Score
36922
Half Precision Score
52698
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 18 2025 01:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2100
390.6 IPS |
|
|
Image Classification (HP)
|
100% |
17479
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
25188
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21802
353.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30399
492.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9981
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123291
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231672
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
19161
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26422
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4288
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
42881
509.5 IPS |
|
|
Face Detection (Q)
|
100% |
63353
752.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8730
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99914
769.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169525
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21882
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
236083
303.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298070
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6142
226.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50020
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84520
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2895
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
6285
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6997
9.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16449
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18616
321.7 IPS |
