Mac mini (2024)
Geekbench AI Score
5710
Single Precision Score
36743
Half Precision Score
48521
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | outsider254 |
| Upload Date | February 05 2025 03:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
17265
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
21797
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22992
372.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31992
518.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18699
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122944
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
228622
268.0 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
19582
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23496
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4483
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
44185
525.0 IPS |
|
|
Face Detection (Q)
|
100% |
57214
679.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8717
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105810
815.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175818
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
35354
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
236212
303.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297397
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6969
257.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45632
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77392
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5798
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5177
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5643
97.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16065
276.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16111
278.4 IPS |
