Mac mini (2024)
Geekbench AI Score
5888
Single Precision Score
9730
Half Precision Score
7510
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | maxtraxpro |
| Upload Date | March 06 2026 05:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5223i) |
| 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 | 4.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2094
389.4 IPS |
|
|
Image Classification (HP)
|
100% |
3011
559.9 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3539
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3881
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15606
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33719
39.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26388
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (HP)
|
97% |
3850
306.5 IPS |
|
|
Object Detection (Q)
|
94% |
2717
216.5 IPS |
|
|
Face Detection (SP)
|
100% |
5223
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
8516
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4784
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8798
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14809
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10213
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29999
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
57482
73.9 IPS |
|
|
Style Transfer (Q)
|
96% |
43530
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5457
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9347
345.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5497
203.0 IPS |
|
|
Text Classification (SP)
|
99% |
5896
7.87 KIPS |
|
|
Text Classification (HP)
|
99% |
8920
11.9 KIPS |
|
|
Text Classification (Q)
|
93% |
8899
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5443
93.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9104
157.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9042
156.3 IPS |
