Mac mini (2024)
Geekbench AI Score
5760
Single Precision Score
36867
Half Precision Score
49728
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | timk |
| Upload Date | December 14 2024 11:08 PM |
| Views | 8 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
18395
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
23021
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23276
377.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32112
520.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18864
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123657
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231269
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2483
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
19797
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23753
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
44119
524.2 IPS |
|
|
Face Detection (Q)
|
100% |
53543
636.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8844
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111487
858.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177389
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35436
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238804
307.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303418
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7041
260.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46163
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78570
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4864
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6017
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5737
98.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16782
289.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16716
288.9 IPS |
