Mac mini (2024)
Geekbench AI Score
5382
Single Precision Score
38020
Half Precision Score
50630
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | RG22032 |
| Upload Date | July 02 2025 02:48 PM |
| Views | 9 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
18425
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
23372
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23248
376.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33687
546.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17318
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123071
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230205
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
20258
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24394
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4667
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
45704
543.1 IPS |
|
|
Face Detection (Q)
|
100% |
57316
681.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8622
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
113295
872.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
180504
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25994
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
238640
306.8 IPS |
|
|
Style Transfer (Q)
|
96% |
304704
393.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47849
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78670
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5950
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
6013
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5570
95.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16802
289.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16790
290.1 IPS |
