Mac mini (2024)
Geekbench AI Score
8333
Single Precision Score
10191
Half Precision Score
9191
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 04 2024 12:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
4591
853.8 IPS |
|
|
Image Classification (HP)
|
100% |
4967
923.6 IPS |
|
|
Image Classification (Q)
|
97% |
4343
810.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4911
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7044
114.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7563
122.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29833
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32062
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30492
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4983
395.3 IPS |
|
|
Object Detection (HP)
|
100% |
5430
430.7 IPS |
|
|
Object Detection (Q)
|
91% |
4653
371.8 IPS |
|
|
Face Detection (SP)
|
100% |
12945
153.8 IPS |
|
|
Face Detection (HP)
|
100% |
16640
197.7 IPS |
|
|
Face Detection (Q)
|
100% |
12306
146.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21248
163.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23702
182.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19931
155.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58666
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71880
92.4 IPS |
|
|
Style Transfer (Q)
|
96% |
67828
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12259
452.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13394
494.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10753
397.1 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5345
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5325
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
969
16.7 IPS |
