MacMini Mac mini (2024)
Geekbench AI Score
4700
Single Precision Score
38185
Half Precision Score
54609
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | July 13 2025 09:47 PM |
| Views | 14 |
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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
18743
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
29038
5.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22342
362.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30621
496.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9641
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123385
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230712
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2391
189.6 IPS |
|
|
Object Detection (HP)
|
100% |
19536
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
27099
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
45274
538.0 IPS |
|
|
Face Detection (Q)
|
100% |
66135
785.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8508
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100597
775.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
171915
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
20685
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237717
305.6 IPS |
|
|
Style Transfer (Q)
|
96% |
299230
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50361
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88802
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
7081
9.45 KIPS |
|
|
Text Classification (Q)
|
93% |
7446
9.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4376
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16913
291.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18863
326.0 IPS |
