Mac mini (2024)
Geekbench AI Score
8332
Single Precision Score
10140
Half Precision Score
9199
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 25 2024 11:19 PM |
| Views | 3 |
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% |
4730
879.7 IPS |
|
|
Image Classification (HP)
|
100% |
5005
930.8 IPS |
|
|
Image Classification (Q)
|
97% |
4343
810.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4804
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6893
111.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7541
122.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29594
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32113
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30487
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4988
395.7 IPS |
|
|
Object Detection (HP)
|
100% |
5419
429.9 IPS |
|
|
Object Detection (Q)
|
91% |
4648
371.4 IPS |
|
|
Face Detection (SP)
|
100% |
12447
147.9 IPS |
|
|
Face Detection (HP)
|
100% |
16323
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
12420
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21427
165.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23715
182.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20156
157.6 IPS |
|
|
Style Transfer (SP)
|
100% |
58359
75.0 IPS |
|
|
Style Transfer (HP)
|
100% |
73442
94.4 IPS |
|
|
Style Transfer (Q)
|
96% |
67594
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12341
455.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13388
494.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10762
397.4 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5232
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5205
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
987
17.1 IPS |
