Mac mini (2023)
Geekbench AI Score
8396
Single Precision Score
8355
Half Precision Score
2705
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gastaro |
| Upload Date | September 16 2024 10:49 AM |
| Views | 1 |
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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4724
878.6 IPS |
|
|
Image Classification (HP)
|
100% |
4858
903.5 IPS |
|
|
Image Classification (Q)
|
97% |
3699
690.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7159
116.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7163
116.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6837
110.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
36359
42.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
38846
45.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
35181
41.2 IPS |
|
|
Object Detection (SP)
|
100% |
4562
361.9 IPS |
|
|
Object Detection (HP)
|
100% |
4670
370.5 IPS |
|
|
Object Detection (Q)
|
92% |
3820
304.9 IPS |
|
|
Face Detection (SP)
|
100% |
15034
178.6 IPS |
|
|
Face Detection (HP)
|
100% |
15338
182.2 IPS |
|
|
Face Detection (Q)
|
100% |
10820
128.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23421
180.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24129
185.9 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
147.1 IPS |
|
|
Style Transfer (SP)
|
100% |
68114
87.6 IPS |
|
|
Style Transfer (HP)
|
100% |
73420
94.4 IPS |
|
|
Style Transfer (Q)
|
96% |
68441
88.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13223
488.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14176
523.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10446
385.7 IPS |
|
|
Text Classification (SP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
680
907.9 IPS |
|
|
Text Classification (Q)
|
93% |
730
979.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1094
18.9 IPS |
