Mac mini (2024)
Geekbench AI Score
8322
Single Precision Score
10249
Half Precision Score
9364
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | March 20 2025 12:48 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4623
859.7 IPS |
|
|
Image Classification (HP)
|
100% |
5182
963.7 IPS |
|
|
Image Classification (Q)
|
97% |
4443
829.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4354
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6415
104.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7525
122.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28983
33.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31859
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
30267
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4808
381.4 IPS |
|
|
Object Detection (HP)
|
100% |
5454
432.6 IPS |
|
|
Object Detection (Q)
|
91% |
4667
372.9 IPS |
|
|
Face Detection (SP)
|
100% |
12088
143.6 IPS |
|
|
Face Detection (HP)
|
100% |
15883
188.7 IPS |
|
|
Face Detection (Q)
|
100% |
11918
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20794
160.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23920
184.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
20639
161.3 IPS |
|
|
Style Transfer (SP)
|
100% |
57293
73.7 IPS |
|
|
Style Transfer (HP)
|
100% |
71124
91.4 IPS |
|
|
Style Transfer (Q)
|
96% |
66623
86.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12474
460.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13463
497.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10945
404.2 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1112
19.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1095
18.9 IPS |
