Mac mini (2024)
Geekbench AI Score
5799
Single Precision Score
8915
Half Precision Score
6893
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | paparazzi83 |
| Upload Date | April 03 2025 07:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2096
389.7 IPS |
|
|
Image Classification (HP)
|
100% |
3051
567.3 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2563
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3651
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3955
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19023
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30572
35.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
23613
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
97% |
3837
305.4 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
4563
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
7850
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4554
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8657
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13736
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9954
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35009
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48539
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38102
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7095
262.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9620
355.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5337
197.1 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5361
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5326
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5852
100.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8996
155.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8953
154.7 IPS |
