Mac mini (2024)
Geekbench AI Score
5469
Single Precision Score
36954
Half Precision Score
50006
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | decryp7 |
| Upload Date | September 26 2025 01:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.77 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
17660
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
21838
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23106
374.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32601
528.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16700
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
118008
137.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
224201
262.8 IPS |
|
|
Object Detection (SP)
|
100% |
2402
190.5 IPS |
|
|
Object Detection (HP)
|
100% |
20917
1.66 KIPS |
|
|
Object Detection (Q)
|
91% |
25124
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4511
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
43355
515.1 IPS |
|
|
Face Detection (Q)
|
100% |
61652
732.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8152
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
108502
835.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
179093
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
29843
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
230748
296.6 IPS |
|
|
Style Transfer (Q)
|
96% |
320912
414.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6801
251.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48233
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78010
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5460
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5407
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5457
94.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16495
284.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16314
281.9 IPS |
