Mac mini (2023)
Geekbench AI Score
6898
Single Precision Score
7688
Half Precision Score
6752
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 01:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3678
684.0 IPS |
|
|
Image Classification (HP)
|
100% |
3682
684.7 IPS |
|
|
Image Classification (Q)
|
97% |
2990
558.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4041
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5008
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5103
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24645
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26333
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24488
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3698
293.3 IPS |
|
|
Object Detection (HP)
|
100% |
3705
293.9 IPS |
|
|
Object Detection (Q)
|
91% |
3065
244.9 IPS |
|
|
Face Detection (SP)
|
100% |
10407
123.7 IPS |
|
|
Face Detection (HP)
|
100% |
11943
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
8405
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16677
128.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17879
137.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
14908
116.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42920
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48650
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45688
59.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9911
366.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10161
375.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7969
294.2 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3781
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3777
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
999
17.3 IPS |
