Mac mini (2024)
Geekbench AI Score
5163
Single Precision Score
38663
Half Precision Score
53353
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 17 2025 07:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.88 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1977
367.6 IPS |
|
|
Image Classification (HP)
|
100% |
18247
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
24405
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23674
383.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33938
550.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16112
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
120392
140.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
219885
257.7 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
21945
1.74 KIPS |
|
|
Object Detection (Q)
|
91% |
26300
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4394
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
43959
522.3 IPS |
|
|
Face Detection (Q)
|
100% |
67217
798.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7977
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112335
865.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
183449
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
25455
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
242208
311.4 IPS |
|
|
Style Transfer (Q)
|
96% |
312421
403.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49293
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84566
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2823
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
6590
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6776
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5364
92.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16836
290.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17676
305.5 IPS |
