Mac mini (2023)
Geekbench AI Score
3509
Single Precision Score
6018
Half Precision Score
4900
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | March 09 2025 02:28 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.4 IPS |
|
|
Image Classification (Q)
|
96% |
1778
332.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2512
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2888
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6920
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15000
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12994
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2101
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6151
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3615
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5848
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11866
91.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8229
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18828
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28632
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23990
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4141
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3662
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3723
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3621
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5824
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5855
101.2 IPS |
