Mac mini (2024)
Geekbench AI Score
4786
Single Precision Score
37668
Half Precision Score
53242
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 11:27 AM |
| Views | 4 |
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% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
17813
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
25736
4.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21967
356.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30345
491.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10075
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123877
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233025
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
18122
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25691
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
43438
516.1 IPS |
|
|
Face Detection (Q)
|
100% |
60864
723.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8378
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98580
759.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167686
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25414
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232559
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297783
384.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5813
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50282
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
93542
3.45 KIPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
7953
10.6 KIPS |
|
|
Text Classification (Q)
|
93% |
7646
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16440
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18014
311.3 IPS |
