Mac mini (2023)
Geekbench AI Score
2253
Single Precision Score
15108
Half Precision Score
16167
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Meddog |
| Upload Date | August 16 2024 10:43 PM |
| Views | 7 |
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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1106
205.7 IPS |
|
|
Image Classification (HP)
|
100% |
7566
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
8301
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5139
83.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
5156
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11172
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92661
108.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
88553
103.9 IPS |
|
|
Object Detection (SP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (HP)
|
99% |
9361
744.7 IPS |
|
|
Object Detection (Q)
|
93% |
10317
823.2 IPS |
|
|
Face Detection (SP)
|
100% |
2025
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
11610
138.0 IPS |
|
|
Face Detection (Q)
|
100% |
13749
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3667
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56122
432.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
60458
467.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13141
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
144686
186.0 IPS |
|
|
Style Transfer (Q)
|
100% |
146237
188.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2144
79.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21006
775.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27996
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
715
954.9 IPS |
|
|
Text Classification (HP)
|
100% |
4108
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4102
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2236
38.6 IPS |
