Mac mini (2024)
Geekbench AI Score
4529
Single Precision Score
35637
Half Precision Score
50302
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | July 25 2025 05:45 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1904
354.1 IPS |
|
|
Image Classification (HP)
|
100% |
17241
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
25009
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21408
347.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
28837
467.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9558
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123646
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231117
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (HP)
|
100% |
17859
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
24877
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
3683
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
43942
522.1 IPS |
|
|
Face Detection (Q)
|
100% |
61342
728.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8118
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98284
757.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
165766
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24151
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232447
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298222
384.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48349
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81414
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
6033
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6421
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
13845
238.5 IPS |
|
|
Machine Translation (Q)
|
98% |
15781
272.7 IPS |
