Mac mini (2024)
Geekbench AI Score
13792
Single Precision Score
15684
Half Precision Score
14391
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Samhain |
| Upload Date | December 20 2024 07:25 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7463
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
8060
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
6775
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11825
191.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12982
210.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13490
218.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56179
65.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
59168
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55907
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7104
563.5 IPS |
|
|
Object Detection (HP)
|
100% |
7710
611.5 IPS |
|
|
Object Detection (Q)
|
91% |
6316
504.7 IPS |
|
|
Face Detection (SP)
|
100% |
25210
299.6 IPS |
|
|
Face Detection (HP)
|
100% |
26762
318.0 IPS |
|
|
Face Detection (Q)
|
100% |
20172
239.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33152
255.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35707
275.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
30100
235.2 IPS |
|
|
Style Transfer (SP)
|
100% |
123831
159.2 IPS |
|
|
Style Transfer (HP)
|
100% |
136514
175.5 IPS |
|
|
Style Transfer (Q)
|
96% |
129091
166.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23055
851.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24306
897.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18783
693.6 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5217
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1538
26.6 IPS |
