Mac mini (2024)
Geekbench AI Score
4725
Single Precision Score
37046
Half Precision Score
52163
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | burakfirat |
| Upload Date | December 26 2024 07:58 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% |
2037
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
17924
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
26435
4.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21968
356.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30406
492.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10029
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123804
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233196
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
18752
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
25999
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4021
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
42190
501.3 IPS |
|
|
Face Detection (Q)
|
100% |
62035
737.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8347
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99944
770.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
171603
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25156
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234177
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299023
385.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5754
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50989
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84767
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6334
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6187
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3889
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16701
287.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18334
316.8 IPS |
