Mac mini (2024)
Geekbench AI Score
4702
Single Precision Score
37228
Half Precision Score
51563
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | March 23 2025 09:59 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
18323
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
24992
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2054
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21725
352.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30032
486.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123828
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232879
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2283
181.1 IPS |
|
|
Object Detection (HP)
|
100% |
18617
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26465
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
44219
525.4 IPS |
|
|
Face Detection (Q)
|
100% |
63039
749.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100065
770.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
170758
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25303
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234043
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301001
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51172
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85941
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6385
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5645
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16470
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18273
315.8 IPS |
