Mac mini (2024)
Geekbench AI Score
5395
Single Precision Score
36982
Half Precision Score
49919
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | deutros |
| Upload Date | August 18 2025 03:49 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2083
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
17247
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
21959
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23363
378.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32268
523.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17270
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122772
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
229518
269.0 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
19936
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24319
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4727
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
45354
538.9 IPS |
|
|
Face Detection (Q)
|
100% |
66454
789.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8661
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112103
863.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
177523
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25475
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
238642
306.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303423
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5969
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46390
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78797
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5251
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5285
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5675
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16419
282.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16301
281.7 IPS |
