Mac mini (2024)
Geekbench AI Score
4491
Single Precision Score
35694
Half Precision Score
51293
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mkennedy |
| Upload Date | February 21 2025 05:29 PM |
| Views | 8 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1845
343.0 IPS |
|
|
Image Classification (HP)
|
100% |
17471
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
25151
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20999
340.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29904
484.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9612
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122474
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231239
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2200
174.5 IPS |
|
|
Object Detection (HP)
|
100% |
18075
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25281
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
43192
513.2 IPS |
|
|
Face Detection (Q)
|
100% |
61462
730.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8055
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98297
757.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169174
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24180
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
229955
295.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296673
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5648
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48757
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86327
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6068
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6489
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
14313
246.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16593
286.7 IPS |
