Mac mini (2024)
Geekbench AI Score
5763
Single Precision Score
36913
Half Precision Score
49412
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | TSMusik |
| Upload Date | January 29 2025 01:52 PM |
| Views | 7 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
17856
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
22554
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22854
370.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31775
515.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18885
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123858
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
230999
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
20165
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
23339
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4545
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
44528
529.1 IPS |
|
|
Face Detection (Q)
|
100% |
54245
644.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8795
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105478
812.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
179768
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35729
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
238762
306.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303575
391.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7018
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47665
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78944
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5462
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6072
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5798
99.9 IPS |
|
|
Machine Translation (HP)
|
100% |
15784
271.9 IPS |
|
|
Machine Translation (Q)
|
98% |
15826
273.5 IPS |
