Mac mini (2023)
Geekbench AI Score
3502
Single Precision Score
27117
Half Precision Score
29964
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Minion |
| Upload Date | August 31 2025 02:30 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
14667
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
15526
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19828
321.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24265
393.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6838
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
107252
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
107130
125.6 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
99% |
16301
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
17788
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
34817
413.7 IPS |
|
|
Face Detection (Q)
|
100% |
44178
524.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
89744
691.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
111496
871.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18755
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206825
265.9 IPS |
|
|
Style Transfer (Q)
|
96% |
197366
254.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41430
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51348
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3754
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3731
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3891
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4208
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4364
75.4 IPS |
