Mac mini (2023)
Geekbench AI Score
10049
Single Precision Score
11044
Half Precision Score
9467
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
5089
946.4 IPS |
|
|
Image Classification (HP)
|
100% |
5232
972.9 IPS |
|
|
Image Classification (Q)
|
97% |
4297
801.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7367
119.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7345
119.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7271
117.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
36823
43.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
39103
45.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
36340
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
4774
378.7 IPS |
|
|
Object Detection (HP)
|
100% |
4868
386.1 IPS |
|
|
Object Detection (Q)
|
91% |
4151
331.7 IPS |
|
|
Face Detection (SP)
|
100% |
16501
196.1 IPS |
|
|
Face Detection (HP)
|
100% |
17524
208.2 IPS |
|
|
Face Detection (Q)
|
100% |
12118
144.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23832
183.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25165
193.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20383
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
68150
87.6 IPS |
|
|
Style Transfer (HP)
|
100% |
74621
95.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69368
89.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13195
487.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14305
528.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11004
406.3 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4002
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1944
33.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1627
28.1 IPS |
