Mac mini (2024)
Geekbench AI Score
4837
Single Precision Score
36897
Half Precision Score
52281
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | October 09 2025 06:15 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
17327
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
25234
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21896
355.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30212
489.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10001
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123255
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231751
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
18256
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26182
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4317
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
42954
510.4 IPS |
|
|
Face Detection (Q)
|
100% |
64394
765.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8735
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100050
770.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169344
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21806
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233246
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299347
386.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49846
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85592
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
6595
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6450
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4382
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16625
286.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18303
316.3 IPS |
