Mac mini (2023)
Geekbench AI Score
3392
Single Precision Score
6029
Half Precision Score
4894
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Cristiansouto |
| Upload Date | March 16 2025 02:13 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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% |
1369
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
2512
467.1 IPS |
|
|
Image Classification (Q)
|
96% |
1755
327.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2789
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6663
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
15137
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12994
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2793
222.4 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5892
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3484
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5523
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11096
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7728
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18306
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29270
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24211
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3969
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3753
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3837
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3799
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6637
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6505
112.4 IPS |
