Mac mini (2023)
Geekbench AI Score
10053
Single Precision Score
11138
Half Precision Score
9970
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | sfs1 |
| Upload Date | November 27 2024 03:06 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5432
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5727
1.07 KIPS |
|
|
Image Classification (Q)
|
97% |
4727
882.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8135
131.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8122
131.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8102
131.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
45032
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47535
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
44287
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
4372
346.8 IPS |
|
|
Object Detection (HP)
|
100% |
5170
410.1 IPS |
|
|
Object Detection (Q)
|
91% |
4381
350.0 IPS |
|
|
Face Detection (SP)
|
100% |
17943
213.2 IPS |
|
|
Face Detection (HP)
|
100% |
19555
232.4 IPS |
|
|
Face Detection (Q)
|
100% |
13032
154.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26221
202.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26829
206.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
22639
176.9 IPS |
|
|
Style Transfer (SP)
|
100% |
79892
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
86049
110.6 IPS |
|
|
Style Transfer (Q)
|
96% |
80199
103.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17668
652.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18723
691.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15161
559.8 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
919
15.9 IPS |
