Mac mini (2023)
Geekbench AI Score
3889
Single Precision Score
17077
Half Precision Score
20876
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | October 17 2024 10:15 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5077a) |
| 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 | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1276
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
4937
918.1 IPS |
|
|
Image Classification (Q)
|
96% |
5301
989.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18289
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23610
382.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12329
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
106053
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102985
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
99% |
5328
423.8 IPS |
|
|
Object Detection (Q)
|
91% |
5517
440.9 IPS |
|
|
Face Detection (SP)
|
100% |
3390
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
16091
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
21556
256.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6023
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72164
556.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
55050
430.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23738
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200277
257.5 IPS |
|
|
Style Transfer (Q)
|
96% |
188318
243.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4636
171.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22475
829.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
50540
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3772
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5191
89.7 IPS |
