Mac mini (2024)
Geekbench AI Score
5778
Single Precision Score
8952
Half Precision Score
6944
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | RG22032 |
| Upload Date | January 28 2025 02:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2062
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
3052
567.6 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3579
58.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3935
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18916
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31134
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24357
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7880
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4660
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8812
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14248
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10200
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35605
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48961
62.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39476
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7060
260.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9760
360.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5332
196.9 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5318
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5301
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5841
100.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8910
154.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8859
153.1 IPS |
