Mac mini (2023)
Geekbench AI Score
2333
Single Precision Score
14963
Half Precision Score
16060
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Sprudent3 |
| Upload Date | September 04 2024 09:00 PM |
| Views | 8 |
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, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1096
203.9 IPS |
|
|
Image Classification (HP)
|
100% |
7670
1.43 KIPS |
|
|
Image Classification (Q)
|
99% |
8265
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5129
83.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5164
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11027
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
92690
108.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
87700
102.9 IPS |
|
|
Object Detection (SP)
|
100% |
1191
94.4 IPS |
|
|
Object Detection (HP)
|
99% |
9193
731.3 IPS |
|
|
Object Detection (Q)
|
93% |
10030
800.3 IPS |
|
|
Face Detection (SP)
|
100% |
1921
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
11582
137.6 IPS |
|
|
Face Detection (Q)
|
100% |
13640
162.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3720
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55940
431.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
60448
467.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13130
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
144736
186.1 IPS |
|
|
Style Transfer (Q)
|
100% |
145094
186.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2252
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20692
764.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27571
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1119
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4069
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1897
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2266
39.2 IPS |
