Mac mini (2024)
Geekbench AI Score
9984
Single Precision Score
11519
Half Precision Score
10986
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | justinwkf |
| Upload Date | July 31 2025 04:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4761
885.5 IPS |
|
|
Image Classification (HP)
|
100% |
5135
955.0 IPS |
|
|
Image Classification (Q)
|
96% |
4819
899.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7577
122.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8170
132.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7899
128.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29934
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31868
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31476
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4843
384.2 IPS |
|
|
Object Detection (HP)
|
100% |
5439
431.4 IPS |
|
|
Object Detection (Q)
|
92% |
4961
396.0 IPS |
|
|
Face Detection (SP)
|
100% |
12699
150.9 IPS |
|
|
Face Detection (HP)
|
100% |
15372
182.7 IPS |
|
|
Face Detection (Q)
|
100% |
12893
153.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21485
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23159
178.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
21472
167.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59574
76.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71599
92.0 IPS |
|
|
Style Transfer (Q)
|
96% |
68874
88.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12481
460.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12268
453.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10996
406.0 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5411
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3814
65.9 IPS |
