Mac mini (2024)
Geekbench AI Score
14652
Single Precision Score
16081
Half Precision Score
14001
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Lingyis |
| Upload Date | November 24 2025 03:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7224
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7519
1.40 KIPS |
|
|
Image Classification (Q)
|
96% |
6914
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12379
200.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12920
209.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12159
197.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
45769
53.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
47309
55.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46701
54.7 IPS |
|
|
Object Detection (SP)
|
100% |
6521
517.2 IPS |
|
|
Object Detection (HP)
|
100% |
7072
561.0 IPS |
|
|
Object Detection (Q)
|
92% |
6555
523.2 IPS |
|
|
Face Detection (SP)
|
100% |
23648
281.0 IPS |
|
|
Face Detection (HP)
|
100% |
25215
299.6 IPS |
|
|
Face Detection (Q)
|
100% |
21663
257.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
31331
241.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
32291
248.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
29234
228.4 IPS |
|
|
Style Transfer (SP)
|
100% |
105039
135.0 IPS |
|
|
Style Transfer (HP)
|
100% |
111059
142.8 IPS |
|
|
Style Transfer (Q)
|
96% |
108973
140.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17202
635.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17518
646.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15509
572.7 IPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5233
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5244
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4404
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4293
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2004
34.6 IPS |
