Mac mini (2023)
Geekbench AI Score
3417
Single Precision Score
6082
Half Precision Score
4951
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DaMoisture |
| Upload Date | September 12 2025 12:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
2510
466.8 IPS |
|
|
Image Classification (Q)
|
96% |
1745
325.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2769
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6697
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
15274
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13171
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2847
226.6 IPS |
|
|
Object Detection (Q)
|
94% |
2085
166.2 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5972
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3516
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5640
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11243
86.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7940
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18746
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29519
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24505
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5039
186.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3806
140.6 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6494
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6498
112.3 IPS |
