Mac mini (2024)
Geekbench AI Score
4842
Single Precision Score
36908
Half Precision Score
51793
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Peritus |
| Upload Date | August 05 2025 11:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
2095
389.5 IPS |
|
|
Image Classification (HP)
|
100% |
17596
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
24421
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21397
346.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29355
475.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9960
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123166
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232053
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
18398
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26085
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
44633
530.3 IPS |
|
|
Face Detection (Q)
|
100% |
64059
761.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8746
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100102
771.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168318
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21900
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234229
301.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299443
386.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6106
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49609
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85001
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6356
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6364
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4419
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16665
287.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18330
316.8 IPS |
