Mac mini (2023)
Geekbench AI Score
7546
Single Precision Score
8464
Half Precision Score
7894
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | justinwkf |
| Upload Date | July 31 2025 04:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3713
690.5 IPS |
|
|
Image Classification (HP)
|
100% |
3691
686.4 IPS |
|
|
Image Classification (Q)
|
96% |
3413
637.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5615
91.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5804
94.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5544
89.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24237
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26264
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25854
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3607
286.1 IPS |
|
|
Object Detection (HP)
|
100% |
3759
298.2 IPS |
|
|
Object Detection (Q)
|
92% |
3401
271.5 IPS |
|
|
Face Detection (SP)
|
100% |
10182
121.0 IPS |
|
|
Face Detection (HP)
|
100% |
11846
140.8 IPS |
|
|
Face Detection (Q)
|
100% |
9757
115.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16447
126.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18380
141.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
16435
128.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42134
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48751
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
47451
61.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9685
357.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10249
378.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8964
331.0 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3861
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2131
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2145
37.1 IPS |
