Mac mini (2024)
Geekbench AI Score
12702
Single Precision Score
14259
Half Precision Score
12650
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jwchess |
| Upload Date | March 07 2025 08:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6770
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
7219
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6257
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10732
174.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11394
184.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11476
186.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
46023
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
48262
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45687
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
6703
531.7 IPS |
|
|
Object Detection (HP)
|
100% |
7049
559.1 IPS |
|
|
Object Detection (Q)
|
91% |
5898
471.3 IPS |
|
|
Face Detection (SP)
|
100% |
23246
276.2 IPS |
|
|
Face Detection (HP)
|
100% |
25086
298.1 IPS |
|
|
Face Detection (Q)
|
100% |
18618
221.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
32093
247.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
32831
252.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
27153
212.2 IPS |
|
|
Style Transfer (SP)
|
100% |
104474
134.3 IPS |
|
|
Style Transfer (HP)
|
100% |
115679
148.7 IPS |
|
|
Style Transfer (Q)
|
96% |
106882
137.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16619
613.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17714
654.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14030
518.1 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5288
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5258
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1361
23.5 IPS |
