Mac mini (2024)
Geekbench AI Score
5309
Single Precision Score
37852
Half Precision Score
50960
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | BennyDaBall |
| Upload Date | May 25 2025 07:04 PM |
| Views | 8 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
18087
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
22672
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23263
377.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32197
521.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17119
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123077
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230770
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
20441
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24531
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4591
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
44837
532.8 IPS |
|
|
Face Detection (Q)
|
100% |
66308
787.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8612
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112403
866.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
178884
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25679
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238180
306.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303570
391.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47173
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81984
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6081
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5086
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16568
285.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16459
284.4 IPS |
