Mac mini (2023)
Geekbench AI Score
3458
Single Precision Score
6067
Half Precision Score
4937
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mkdalmond |
| Upload Date | June 24 2025 06:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.3 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2801
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6840
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15126
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12922
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.2 IPS |
|
|
Object Detection (HP)
|
97% |
2850
226.9 IPS |
|
|
Object Detection (Q)
|
94% |
2077
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5972
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3511
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5596
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11109
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7849
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18631
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29163
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24281
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3963
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5042
186.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3761
138.9 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6447
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6582
113.7 IPS |
