Mac mini (2024)
Geekbench AI Score
8818
Single Precision Score
10557
Half Precision Score
9550
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | RAMFlux |
| Upload Date | March 18 2025 04:28 PM |
| Views | 17 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4778
888.5 IPS |
|
|
Image Classification (HP)
|
100% |
5171
961.6 IPS |
|
|
Image Classification (Q)
|
97% |
4505
840.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5027
81.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7284
118.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7659
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
30181
35.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32281
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
30743
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
5084
403.3 IPS |
|
|
Object Detection (HP)
|
100% |
5521
437.9 IPS |
|
|
Object Detection (Q)
|
91% |
4728
377.8 IPS |
|
|
Face Detection (SP)
|
100% |
13282
157.8 IPS |
|
|
Face Detection (HP)
|
100% |
17154
203.8 IPS |
|
|
Face Detection (Q)
|
100% |
12535
148.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21645
166.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24110
185.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
21451
167.7 IPS |
|
|
Style Transfer (SP)
|
100% |
58963
75.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72715
93.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68210
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12652
467.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13741
507.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11700
432.0 IPS |
|
|
Text Classification (SP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5616
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5387
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1089
18.8 IPS |
