Mac mini (2024)
Geekbench AI Score
4839
Single Precision Score
37278
Half Precision Score
52072
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | voronczoff |
| Upload Date | April 03 2025 09:28 PM |
| Views | 10 |
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% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
18352
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
24867
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22107
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29126
472.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10006
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123114
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231737
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
18669
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26265
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4269
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
44601
530.0 IPS |
|
|
Face Detection (Q)
|
100% |
63718
757.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8704
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99578
767.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
170402
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21732
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234422
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
298491
385.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6102
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49973
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87313
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6443
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6384
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4400
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16582
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18406
318.1 IPS |
