Mac mini (2024)
Geekbench AI Score
4764
Single Precision Score
36877
Half Precision Score
50840
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | burakfirat |
| Upload Date | December 26 2024 08:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
17520
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
24703
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22201
359.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30358
492.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10073
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124179
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233796
274.0 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
18452
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26343
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4043
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
43131
512.5 IPS |
|
|
Face Detection (Q)
|
100% |
61248
727.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8446
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99311
765.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
169569
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25467
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
236524
304.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299746
386.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50711
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83787
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6142
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5246
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16541
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18255
315.5 IPS |
