Mac mini (2024)
Geekbench AI Score
5399
Single Precision Score
38346
Half Precision Score
53076
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rbuj |
| Upload Date | April 15 2025 10:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
18565
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
23742
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23917
387.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33427
541.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16849
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124013
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233334
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
21115
1.67 KIPS |
|
|
Object Detection (Q)
|
91% |
25634
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4635
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
45178
536.8 IPS |
|
|
Face Detection (Q)
|
100% |
68617
815.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8511
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
112198
864.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
184304
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
25801
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
238368
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
310979
401.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48403
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84544
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5967
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6689
8.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5865
101.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16942
291.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16805
290.4 IPS |
