Mac mini (2024)
Geekbench AI Score
5801
Single Precision Score
38268
Half Precision Score
51874
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CordonTi |
| Upload Date | January 03 2025 10:55 PM |
| Views | 7 |
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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2118
393.8 IPS |
|
|
Image Classification (HP)
|
100% |
18618
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
23923
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23391
379.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33754
547.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18824
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
124995
145.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231734
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2503
198.5 IPS |
|
|
Object Detection (HP)
|
100% |
21088
1.67 KIPS |
|
|
Object Detection (Q)
|
91% |
25097
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
44607
530.0 IPS |
|
|
Face Detection (Q)
|
100% |
64587
767.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8658
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111796
861.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
182043
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35467
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238776
306.9 IPS |
|
|
Style Transfer (Q)
|
96% |
304463
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7122
263.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47848
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83209
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5946
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5765
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5811
100.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17323
298.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17496
302.4 IPS |
