Mac mini (2023)
Geekbench AI Score
7990
Single Precision Score
8290
Half Precision Score
7449
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Meddog |
| Upload Date | August 16 2024 10:33 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4770
887.1 IPS |
|
|
Image Classification (HP)
|
100% |
4846
901.2 IPS |
|
|
Image Classification (Q)
|
99% |
4223
787.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7128
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7096
115.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
6952
112.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
36673
42.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
38825
45.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
34957
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
4536
359.8 IPS |
|
|
Object Detection (HP)
|
100% |
4643
368.3 IPS |
|
|
Object Detection (Q)
|
92% |
3828
305.5 IPS |
|
|
Face Detection (SP)
|
100% |
15228
180.9 IPS |
|
|
Face Detection (HP)
|
100% |
15913
189.1 IPS |
|
|
Face Detection (Q)
|
100% |
10897
129.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23478
180.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24048
185.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
24020
185.7 IPS |
|
|
Style Transfer (SP)
|
100% |
67768
87.1 IPS |
|
|
Style Transfer (HP)
|
100% |
73620
94.6 IPS |
|
|
Style Transfer (Q)
|
100% |
73050
93.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13156
485.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13917
513.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10278
380.8 IPS |
|
|
Text Classification (SP)
|
100% |
642
857.2 IPS |
|
|
Text Classification (HP)
|
100% |
637
850.4 IPS |
|
|
Text Classification (Q)
|
93% |
632
847.8 IPS |
|
|
Machine Translation (SP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1078
18.6 IPS |
