Mac mini (2023)
Geekbench AI Score
7654
Single Precision Score
8715
Half Precision Score
8030
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | May 17 2025 02:17 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3821
710.7 IPS |
|
|
Image Classification (HP)
|
100% |
3823
711.0 IPS |
|
|
Image Classification (Q)
|
96% |
3372
629.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5466
88.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5915
95.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5713
92.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24463
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26428
30.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
25534
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3713
294.5 IPS |
|
|
Object Detection (HP)
|
100% |
3842
304.8 IPS |
|
|
Object Detection (Q)
|
92% |
3483
278.0 IPS |
|
|
Face Detection (SP)
|
100% |
10308
122.5 IPS |
|
|
Face Detection (HP)
|
100% |
12066
143.4 IPS |
|
|
Face Detection (Q)
|
100% |
9990
118.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16854
129.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17934
138.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
16574
129.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42251
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48718
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
47303
61.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9911
366.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10705
395.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9127
337.0 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2147
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2424
41.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2279
39.4 IPS |
