Mac mini (2023)
Geekbench AI Score
4129
Single Precision Score
23829
Half Precision Score
26153
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Sprudent3 |
| Upload Date | September 28 2024 10:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
14850
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
17632
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10125
164.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11301
183.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12875
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106263
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104369
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
99% |
15243
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16863
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3488
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
35591
422.9 IPS |
|
|
Face Detection (Q)
|
100% |
45534
541.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6256
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87844
676.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108577
848.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24855
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204312
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
191469
247.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5123
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41575
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49661
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3928
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3909
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4553
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2324
40.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2323
40.1 IPS |
