Mac mini (2024)
Geekbench AI Score
5809
Single Precision Score
9397
Half Precision Score
7172
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | davidsamson |
| Upload Date | October 26 2025 02:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2173
404.2 IPS |
|
|
Image Classification (HP)
|
100% |
3087
574.1 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3491
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3902
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17337
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33989
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26641
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (HP)
|
97% |
3883
309.1 IPS |
|
|
Object Detection (Q)
|
94% |
2759
219.9 IPS |
|
|
Face Detection (SP)
|
100% |
5071
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
8527
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4815
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8807
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15296
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9685
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30634
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57231
73.6 IPS |
|
|
Style Transfer (Q)
|
96% |
43666
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7060
260.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9433
348.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5350
197.6 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5616
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5570
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5955
102.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9556
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9435
163.0 IPS |
