Mac mini (2024)
Geekbench AI Score
9191
Single Precision Score
11124
Half Precision Score
10044
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jakubk0 |
| Upload Date | April 06 2025 12:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
4629
860.9 IPS |
|
|
Image Classification (HP)
|
100% |
4910
913.0 IPS |
|
|
Image Classification (Q)
|
97% |
4371
815.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4933
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7029
113.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7573
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29832
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32055
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30473
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4963
393.7 IPS |
|
|
Object Detection (HP)
|
100% |
5448
432.1 IPS |
|
|
Object Detection (Q)
|
91% |
4670
373.2 IPS |
|
|
Face Detection (SP)
|
100% |
12919
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
16969
201.6 IPS |
|
|
Face Detection (Q)
|
100% |
12169
144.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21326
164.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23503
181.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20148
157.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59763
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
71960
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
67911
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12479
460.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13729
506.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10680
394.4 IPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2078
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2226
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2226
38.5 IPS |
