Mac mini (2024)
Geekbench AI Score
4824
Single Precision Score
36725
Half Precision Score
51435
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | teotwawk |
| Upload Date | November 14 2025 04:46 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2109
392.2 IPS |
|
|
Image Classification (HP)
|
100% |
17365
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
25180
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21375
346.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30257
490.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10005
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123547
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232483
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
18238
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25992
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4225
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
44410
527.7 IPS |
|
|
Face Detection (Q)
|
100% |
57437
682.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8653
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99736
768.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168806
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21655
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233755
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298628
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6112
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49944
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84249
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
6220
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6270
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4394
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16595
285.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18405
318.1 IPS |
