Mac mini (2023)
Geekbench AI Score
4121
Single Precision Score
24327
Half Precision Score
27382
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mkninc |
| Upload Date | November 09 2024 06:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
14037
2.61 KIPS |
|
|
Image Classification (Q)
|
99% |
16238
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15465
250.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
15670
254.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12606
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
102656
119.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
99923
117.2 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (HP)
|
99% |
14062
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
17096
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
22993
273.2 IPS |
|
|
Face Detection (Q)
|
100% |
35100
417.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6211
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73696
567.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
82422
637.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24977
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
155559
200.0 IPS |
|
|
Style Transfer (Q)
|
100% |
157534
202.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42632
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49783
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4030
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4576
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6026
104.1 IPS |
