Mac mini (2024)
Geekbench AI Score
8550
Single Precision Score
10392
Half Precision Score
9274
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | December 07 2024 07:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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% |
4491
835.1 IPS |
|
|
Image Classification (HP)
|
100% |
4980
926.1 IPS |
|
|
Image Classification (Q)
|
97% |
4162
776.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4862
78.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6936
112.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7513
121.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29691
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31981
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30504
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4855
385.1 IPS |
|
|
Object Detection (HP)
|
100% |
5315
421.6 IPS |
|
|
Object Detection (Q)
|
91% |
4677
373.7 IPS |
|
|
Face Detection (SP)
|
100% |
12809
152.2 IPS |
|
|
Face Detection (HP)
|
100% |
15815
187.9 IPS |
|
|
Face Detection (Q)
|
100% |
12327
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21402
164.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24769
190.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
21097
164.9 IPS |
|
|
Style Transfer (SP)
|
100% |
58557
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
71948
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
67657
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12268
453.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13628
503.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10840
400.3 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5166
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5208
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1153
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1063
18.4 IPS |
