Mac mini (2024)
Geekbench AI Score
10416
Single Precision Score
12239
Half Precision Score
11451
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | August 30 2025 06:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4689
871.9 IPS |
|
|
Image Classification (HP)
|
100% |
5086
945.9 IPS |
|
|
Image Classification (Q)
|
96% |
4819
899.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7629
123.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8392
136.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8080
131.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29550
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31756
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31424
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4796
380.4 IPS |
|
|
Object Detection (HP)
|
100% |
5393
427.8 IPS |
|
|
Object Detection (Q)
|
92% |
4968
396.5 IPS |
|
|
Face Detection (SP)
|
100% |
12857
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
16972
201.7 IPS |
|
|
Face Detection (Q)
|
100% |
13629
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21535
165.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23315
179.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21265
166.1 IPS |
|
|
Style Transfer (SP)
|
100% |
60635
77.9 IPS |
|
|
Style Transfer (HP)
|
100% |
71040
91.3 IPS |
|
|
Style Transfer (Q)
|
96% |
69261
89.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12497
461.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12338
455.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11062
408.5 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5505
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4799
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5375
92.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5217
90.2 IPS |
