Mac mini (2023)
Geekbench AI Score
4100
Single Precision Score
23933
Half Precision Score
26647
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fo0barorg |
| Upload Date | December 23 2024 11:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.38 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
14567
2.71 KIPS |
|
|
Image Classification (Q)
|
99% |
17020
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15760
255.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
15832
256.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12379
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
104450
121.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
101013
118.5 IPS |
|
|
Object Detection (SP)
|
100% |
1660
131.7 IPS |
|
|
Object Detection (HP)
|
99% |
14527
1.16 KIPS |
|
|
Object Detection (Q)
|
91% |
17795
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
23634
280.8 IPS |
|
|
Face Detection (Q)
|
100% |
35202
418.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6187
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
74668
575.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
83938
649.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25072
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
159424
204.9 IPS |
|
|
Style Transfer (Q)
|
100% |
160628
206.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4973
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42419
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
50475
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3927
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4514
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3807
65.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3962
68.5 IPS |
