Mac mini (2023)
Geekbench AI Score
3166
Single Precision Score
4737
Half Precision Score
3936
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Meddog |
| Upload Date | August 16 2024 10:30 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1477
274.7 IPS |
|
|
Image Classification (HP)
|
100% |
1828
339.9 IPS |
|
|
Image Classification (Q)
|
99% |
1825
340.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1276
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6213
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
14789
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12531
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2192
174.5 IPS |
|
|
Object Detection (Q)
|
94% |
1706
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
4371
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2846
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5487
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8553
66.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4179
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16830
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26604
34.2 IPS |
|
|
Style Transfer (Q)
|
100% |
26602
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3803
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3635
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3584
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3537
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4491
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4414
76.3 IPS |
