Mac mini (2023)
Geekbench AI Score
3471
Single Precision Score
26736
Half Precision Score
30122
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | macbookjoe |
| Upload Date | September 15 2025 07:02 PM |
| Views | 3 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
14763
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
16029
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19474
315.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23974
388.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6852
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
107087
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106984
125.4 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
99% |
15642
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
18036
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
31331
372.3 IPS |
|
|
Face Detection (Q)
|
100% |
42787
508.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5616
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87937
677.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111618
872.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18725
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203982
262.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196308
253.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41190
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50081
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3771
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4296
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4606
79.6 IPS |
