Mac mini (2023)
Geekbench AI Score
4113
Single Precision Score
26898
Half Precision Score
29885
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | AlexSwitch |
| Upload Date | March 11 2025 02:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
14356
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
16707
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19480
315.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24620
399.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12788
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106482
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104207
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
99% |
15240
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16765
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
35240
418.7 IPS |
|
|
Face Detection (Q)
|
100% |
45495
540.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6346
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87917
677.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109076
852.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25120
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204409
262.8 IPS |
|
|
Style Transfer (Q)
|
96% |
189623
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5090
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41307
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48614
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3945
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4045
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4213
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4382
75.7 IPS |
