Mac mini (2024)
Geekbench AI Score
5835
Single Precision Score
38791
Half Precision Score
52447
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ddalledo |
| Upload Date | January 22 2025 12:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2123
394.9 IPS |
|
|
Image Classification (HP)
|
100% |
17932
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22931
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2557
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23857
386.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32819
532.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18697
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124057
144.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
234354
274.7 IPS |
|
|
Object Detection (SP)
|
100% |
2522
200.0 IPS |
|
|
Object Detection (HP)
|
100% |
21817
1.73 KIPS |
|
|
Object Detection (Q)
|
91% |
26370
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4538
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
45900
545.4 IPS |
|
|
Face Detection (Q)
|
100% |
66684
792.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8805
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
114388
881.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
184817
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
36220
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
241016
309.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302045
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7188
265.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48715
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84416
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6585
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6524
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5809
100.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16416
282.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16518
285.5 IPS |
