Mac mini (2024)
Geekbench AI Score
5748
Single Precision Score
37068
Half Precision Score
49038
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jwchess |
| Upload Date | March 07 2025 09:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
17848
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
21608
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23185
375.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32914
533.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18908
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
125032
145.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233439
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
20509
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
23727
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4503
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
43020
511.2 IPS |
|
|
Face Detection (Q)
|
100% |
54214
644.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8750
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
113558
874.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
181809
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35244
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
236372
303.9 IPS |
|
|
Style Transfer (Q)
|
96% |
305603
394.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7048
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46863
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77638
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5261
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5185
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5746
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16216
279.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16835
290.9 IPS |
