Mac mini (2024)
Geekbench AI Score
5759
Single Precision Score
36358
Half Precision Score
48837
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | egoodchild |
| Upload Date | February 24 2025 02:12 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
17552
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22375
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23138
375.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33039
535.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18900
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122951
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
229043
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
20177
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
25887
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
44249
525.8 IPS |
|
|
Face Detection (Q)
|
100% |
57531
683.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8683
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110732
853.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
177651
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35690
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235817
303.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299145
386.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7076
261.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46332
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78839
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4498
6.00 KIPS |
|
|
Text Classification (Q)
|
93% |
4379
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5707
98.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16642
286.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16683
288.3 IPS |
