Mac mini (2024)
Geekbench AI Score
5785
Single Precision Score
9385
Half Precision Score
7198
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | 0x1ac |
| Upload Date | March 08 2026 10:57 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2164
402.4 IPS |
|
|
Image Classification (HP)
|
100% |
3091
574.8 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3542
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3893
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17350
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34015
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26749
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (HP)
|
97% |
3890
309.7 IPS |
|
|
Object Detection (Q)
|
94% |
2759
219.9 IPS |
|
|
Face Detection (SP)
|
100% |
5072
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
8595
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
4829
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15169
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9823
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30688
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57992
74.5 IPS |
|
|
Style Transfer (Q)
|
96% |
43839
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6943
256.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9262
342.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5448
201.2 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5462
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5986
103.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9532
164.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9577
165.5 IPS |
