Mac mini (2024)
Geekbench AI Score
9251
Single Precision Score
11161
Half Precision Score
10032
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ncard00 |
| Upload Date | December 20 2024 08:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4628
860.7 IPS |
|
|
Image Classification (HP)
|
100% |
5126
953.3 IPS |
|
|
Image Classification (Q)
|
97% |
4360
813.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5001
81.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7036
114.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7589
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29861
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32071
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30531
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5014
397.7 IPS |
|
|
Object Detection (HP)
|
100% |
5450
432.3 IPS |
|
|
Object Detection (Q)
|
91% |
4663
372.6 IPS |
|
|
Face Detection (SP)
|
100% |
12946
153.8 IPS |
|
|
Face Detection (HP)
|
100% |
16783
199.4 IPS |
|
|
Face Detection (Q)
|
100% |
12326
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21543
166.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23635
182.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20383
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
59962
77.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72065
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
67771
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12503
461.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13720
506.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10708
395.4 IPS |
|
|
Text Classification (SP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5456
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5405
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2225
38.4 IPS |
