Mac mini (2023)
Geekbench AI Score
3482
Single Precision Score
27085
Half Precision Score
30026
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DaMoisture |
| Upload Date | September 12 2025 12:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
15353
2.86 KIPS |
|
|
Image Classification (Q)
|
96% |
15903
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19850
321.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24244
393.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6816
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
106340
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106989
125.4 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (HP)
|
99% |
15633
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
18026
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
33625
399.5 IPS |
|
|
Face Detection (Q)
|
100% |
42913
509.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5621
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87664
675.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
110493
863.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18795
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
206023
264.8 IPS |
|
|
Style Transfer (Q)
|
96% |
194465
250.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4072
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40787
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49787
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3795
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4326
74.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4448
76.9 IPS |
