Mac mini (2023)
Geekbench AI Score
2307
Single Precision Score
15182
Half Precision Score
16212
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mutantlog |
| Upload Date | August 21 2024 05:11 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1058
196.8 IPS |
|
|
Image Classification (HP)
|
100% |
7858
1.46 KIPS |
|
|
Image Classification (Q)
|
99% |
8706
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5132
83.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
5110
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11235
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
93256
108.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
88816
104.2 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.9 IPS |
|
|
Object Detection (HP)
|
99% |
9293
739.2 IPS |
|
|
Object Detection (Q)
|
93% |
10115
807.1 IPS |
|
|
Face Detection (SP)
|
100% |
2000
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
11769
139.8 IPS |
|
|
Face Detection (Q)
|
100% |
13767
163.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4025
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55961
431.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
60983
471.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13289
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
145985
187.7 IPS |
|
|
Style Transfer (Q)
|
100% |
145684
187.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2779
102.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21127
780.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28398
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
693
924.5 IPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2289
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2246
38.8 IPS |
