Mac mini (2024)
Geekbench AI Score
5768
Single Precision Score
36689
Half Precision Score
49527
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 01:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2087
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
17533
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22236
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23171
375.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32091
520.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18921
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123570
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231432
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
19851
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23899
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4517
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
44684
530.9 IPS |
|
|
Face Detection (Q)
|
100% |
63762
757.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8885
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105934
816.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
178255
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35644
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
238932
307.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302408
390.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7026
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46942
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79509
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4891
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4930
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5775
99.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17081
294.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16703
288.7 IPS |
