Mac mini (2023)
Geekbench AI Score
6711
Single Precision Score
7549
Half Precision Score
6729
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | aboraged307 |
| Upload Date | March 28 2025 09:40 AM |
| Views | 15 |
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% |
3661
680.9 IPS |
|
|
Image Classification (HP)
|
100% |
3626
674.4 IPS |
|
|
Image Classification (Q)
|
97% |
3014
562.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4052
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5026
81.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5104
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24518
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26443
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24437
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3432
272.2 IPS |
|
|
Object Detection (HP)
|
100% |
3466
275.0 IPS |
|
|
Object Detection (Q)
|
91% |
3060
244.5 IPS |
|
|
Face Detection (SP)
|
100% |
9559
113.6 IPS |
|
|
Face Detection (HP)
|
100% |
11312
134.4 IPS |
|
|
Face Detection (Q)
|
100% |
8380
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16336
125.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17891
137.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
14822
115.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42113
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48841
62.8 IPS |
|
|
Style Transfer (Q)
|
96% |
45473
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9839
363.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10188
376.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7961
294.0 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3882
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3832
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
961
16.6 IPS |
