Mac mini (2024)
Geekbench AI Score
9783
Single Precision Score
11392
Half Precision Score
10803
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | stgzach |
| Upload Date | April 10 2025 05:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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% |
4579
851.5 IPS |
|
|
Image Classification (HP)
|
100% |
4916
914.3 IPS |
|
|
Image Classification (Q)
|
96% |
4601
859.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7595
123.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7947
128.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7959
129.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29713
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31739
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31374
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
4719
374.3 IPS |
|
|
Object Detection (HP)
|
100% |
5338
423.4 IPS |
|
|
Object Detection (Q)
|
92% |
4928
393.4 IPS |
|
|
Face Detection (SP)
|
100% |
13009
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
17287
205.4 IPS |
|
|
Face Detection (Q)
|
100% |
13935
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21492
165.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23167
178.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
21413
167.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60621
77.9 IPS |
|
|
Style Transfer (HP)
|
100% |
70769
91.0 IPS |
|
|
Style Transfer (Q)
|
96% |
68877
88.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12100
446.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12040
444.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11417
421.6 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5268
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5212
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2733
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3127
54.0 IPS |
