Mac mini (2024)
Geekbench AI Score
14254
Single Precision Score
16062
Half Precision Score
14290
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | videonutter |
| Upload Date | December 24 2024 04:19 PM |
| Views | 3 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7463
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7998
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6816
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11958
193.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12862
208.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13363
216.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56495
65.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
58953
68.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
55792
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
7115
564.4 IPS |
|
|
Object Detection (HP)
|
100% |
7584
601.6 IPS |
|
|
Object Detection (Q)
|
91% |
6297
503.2 IPS |
|
|
Face Detection (SP)
|
100% |
25110
298.4 IPS |
|
|
Face Detection (HP)
|
100% |
27515
326.9 IPS |
|
|
Face Detection (Q)
|
100% |
21259
252.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33020
254.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35739
275.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
29366
229.5 IPS |
|
|
Style Transfer (SP)
|
100% |
123283
158.5 IPS |
|
|
Style Transfer (HP)
|
100% |
134584
173.0 IPS |
|
|
Style Transfer (Q)
|
96% |
126981
163.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22710
838.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24096
889.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18950
699.7 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5144
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1436
24.8 IPS |
