Mac mini (2023)
Geekbench AI Score
2328
Single Precision Score
15325
Half Precision Score
17236
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | AlexSwitch |
| Upload Date | September 06 2024 10:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1103
205.2 IPS |
|
|
Image Classification (HP)
|
100% |
8331
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
8754
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5182
84.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8829
143.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10910
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
93627
109.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
89358
104.7 IPS |
|
|
Object Detection (SP)
|
100% |
1171
92.9 IPS |
|
|
Object Detection (HP)
|
99% |
9663
768.7 IPS |
|
|
Object Detection (Q)
|
93% |
10410
830.6 IPS |
|
|
Face Detection (SP)
|
100% |
2041
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
11744
139.5 IPS |
|
|
Face Detection (Q)
|
100% |
13576
161.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3982
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57517
443.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
69594
543.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13375
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
147408
189.5 IPS |
|
|
Style Transfer (Q)
|
95% |
135354
174.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2769
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21017
776.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28332
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1863
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2251
38.9 IPS |
