Mac mini (2024)
Geekbench AI Score
10022
Single Precision Score
11697
Half Precision Score
11358
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Natrep |
| Upload Date | July 11 2025 09:16 PM |
| Views | 14 |
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% |
4777
888.4 IPS |
|
|
Image Classification (HP)
|
100% |
5105
949.4 IPS |
|
|
Image Classification (Q)
|
96% |
4859
907.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7667
124.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8182
132.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7953
128.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29703
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31934
37.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
31470
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4929
391.0 IPS |
|
|
Object Detection (HP)
|
100% |
5519
437.8 IPS |
|
|
Object Detection (Q)
|
92% |
5069
404.6 IPS |
|
|
Face Detection (SP)
|
100% |
13105
155.7 IPS |
|
|
Face Detection (HP)
|
100% |
16745
199.0 IPS |
|
|
Face Detection (Q)
|
100% |
13815
164.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21930
169.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23409
180.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
21722
169.7 IPS |
|
|
Style Transfer (SP)
|
100% |
61180
78.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71729
92.2 IPS |
|
|
Style Transfer (Q)
|
96% |
69379
89.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12670
467.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12563
463.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11038
407.6 IPS |
|
|
Text Classification (SP)
|
100% |
3023
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5596
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5634
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2833
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3296
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4478
77.4 IPS |
