Mac mini (2024)
Geekbench AI Score
14324
Single Precision Score
15995
Half Precision Score
14164
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 01:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
7454
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7993
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6794
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11818
191.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12782
207.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13170
213.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56399
65.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
58909
68.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
55782
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
7109
563.9 IPS |
|
|
Object Detection (HP)
|
100% |
7614
603.9 IPS |
|
|
Object Detection (Q)
|
91% |
6302
503.6 IPS |
|
|
Face Detection (SP)
|
100% |
25360
301.3 IPS |
|
|
Face Detection (HP)
|
100% |
27537
327.2 IPS |
|
|
Face Detection (Q)
|
100% |
20727
246.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33563
258.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35490
273.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
28966
226.4 IPS |
|
|
Style Transfer (SP)
|
100% |
123070
158.2 IPS |
|
|
Style Transfer (HP)
|
100% |
134605
173.0 IPS |
|
|
Style Transfer (Q)
|
96% |
126494
163.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23445
865.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24079
889.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19073
704.3 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5121
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5116
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1433
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1395
24.1 IPS |
