Mac mini (2024)
Geekbench AI Score
9804
Single Precision Score
11668
Half Precision Score
10857
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | April 01 2025 03:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
4726
879.0 IPS |
|
|
Image Classification (HP)
|
100% |
4973
924.9 IPS |
|
|
Image Classification (Q)
|
96% |
4742
885.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7222
117.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8024
130.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7821
126.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29411
34.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31913
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31107
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
4789
379.9 IPS |
|
|
Object Detection (HP)
|
100% |
5417
429.7 IPS |
|
|
Object Detection (Q)
|
92% |
4984
397.8 IPS |
|
|
Face Detection (SP)
|
100% |
12750
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16534
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
13587
161.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21467
165.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23685
182.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
21708
169.7 IPS |
|
|
Style Transfer (SP)
|
100% |
61423
79.0 IPS |
|
|
Style Transfer (HP)
|
100% |
71805
92.3 IPS |
|
|
Style Transfer (Q)
|
96% |
69291
89.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12243
452.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13740
507.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11364
419.6 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5647
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5439
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2808
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3135
54.2 IPS |
