Mac mini (2024)
Geekbench AI Score
9727
Single Precision Score
11761
Half Precision Score
10720
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | shiftHappens |
| Upload Date | June 12 2025 09:06 AM |
| Views | 3 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4629
860.9 IPS |
|
|
Image Classification (HP)
|
100% |
4956
921.7 IPS |
|
|
Image Classification (Q)
|
96% |
4702
878.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7566
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8333
135.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7795
126.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29532
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31654
36.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
31279
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
4791
380.0 IPS |
|
|
Object Detection (HP)
|
100% |
5398
428.2 IPS |
|
|
Object Detection (Q)
|
92% |
4980
397.5 IPS |
|
|
Face Detection (SP)
|
100% |
12100
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
16151
191.9 IPS |
|
|
Face Detection (Q)
|
100% |
12878
153.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21213
163.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23406
180.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
21280
166.2 IPS |
|
|
Style Transfer (SP)
|
100% |
61476
79.0 IPS |
|
|
Style Transfer (HP)
|
100% |
70588
90.7 IPS |
|
|
Style Transfer (Q)
|
96% |
69016
89.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12494
461.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12242
452.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10722
395.9 IPS |
|
|
Text Classification (SP)
|
100% |
2873
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5542
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2702
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3966
68.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3122
54.0 IPS |
