Mac mini (2023)
Geekbench AI Score
3436
Single Precision Score
5967
Half Precision Score
4858
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Jaleelajmal |
| Upload Date | September 22 2024 11:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.3 IPS |
|
|
Image Classification (Q)
|
96% |
1767
329.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2867
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6857
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14848
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12920
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
97% |
2910
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2104
167.7 IPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6028
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3538
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5676
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11733
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8160
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18746
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28804
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23930
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4936
182.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3599
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3611
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3624
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5845
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5903
102.0 IPS |
