Mac mini (2024)
Geekbench AI Score
12758
Single Precision Score
14260
Half Precision Score
12568
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 28 2025 08:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6772
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
7634
1.42 KIPS |
|
|
Image Classification (Q)
|
97% |
6390
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10553
171.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11088
179.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11301
183.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46161
53.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48284
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45697
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6719
533.0 IPS |
|
|
Object Detection (HP)
|
100% |
7270
576.6 IPS |
|
|
Object Detection (Q)
|
91% |
5909
472.2 IPS |
|
|
Face Detection (SP)
|
100% |
23524
279.5 IPS |
|
|
Face Detection (HP)
|
100% |
24523
291.4 IPS |
|
|
Face Detection (Q)
|
100% |
18005
213.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
30814
237.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
32892
253.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
27398
214.1 IPS |
|
|
Style Transfer (SP)
|
100% |
104775
134.7 IPS |
|
|
Style Transfer (HP)
|
100% |
112697
144.9 IPS |
|
|
Style Transfer (Q)
|
96% |
106756
137.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17145
633.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17541
647.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13799
509.5 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5218
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5192
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1337
23.1 IPS |
