Mac mini (2024)
Geekbench AI Score
5779
Single Precision Score
9349
Half Precision Score
7174
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | kgestring |
| Upload Date | January 23 2026 01:19 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2161
401.8 IPS |
|
|
Image Classification (HP)
|
100% |
3090
574.7 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3481
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3906
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17434
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34008
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26770
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (HP)
|
97% |
3877
308.6 IPS |
|
|
Object Detection (Q)
|
94% |
2751
219.3 IPS |
|
|
Face Detection (SP)
|
100% |
5114
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
8520
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4798
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8831
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15305
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9676
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30812
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
57531
74.0 IPS |
|
|
Style Transfer (Q)
|
96% |
43736
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7000
258.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9401
347.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5468
201.9 IPS |
|
|
Text Classification (SP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5388
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5927
102.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9469
163.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9427
162.9 IPS |
