Mac mini (2024)
Geekbench AI Score
8564
Single Precision Score
10539
Half Precision Score
9457
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | somata |
| Upload Date | December 29 2024 11:01 PM |
| Views | 11 |
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% |
4619
858.9 IPS |
|
|
Image Classification (HP)
|
100% |
4973
924.8 IPS |
|
|
Image Classification (Q)
|
97% |
4356
812.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4916
79.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6999
113.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7584
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29822
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32101
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30489
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
5038
399.6 IPS |
|
|
Object Detection (HP)
|
100% |
5418
429.8 IPS |
|
|
Object Detection (Q)
|
91% |
4639
370.7 IPS |
|
|
Face Detection (SP)
|
100% |
13063
155.2 IPS |
|
|
Face Detection (HP)
|
100% |
16371
194.5 IPS |
|
|
Face Detection (Q)
|
100% |
12403
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21695
167.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23622
182.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20220
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58751
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
71835
92.3 IPS |
|
|
Style Transfer (Q)
|
96% |
68043
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12541
463.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13726
506.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10725
396.0 IPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1213
21.0 IPS |
