Mac mini (2024)
Geekbench AI Score
14940
Single Precision Score
16675
Half Precision Score
15518
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jms_ch |
| Upload Date | June 09 2025 01:44 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.08 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7083
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7662
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
6967
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12426
201.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12948
209.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12337
200.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
46281
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
47871
55.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
46982
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
7002
555.4 IPS |
|
|
Object Detection (HP)
|
100% |
7383
585.6 IPS |
|
|
Object Detection (Q)
|
92% |
6678
533.0 IPS |
|
|
Face Detection (SP)
|
100% |
22916
272.3 IPS |
|
|
Face Detection (HP)
|
100% |
26669
316.9 IPS |
|
|
Face Detection (Q)
|
100% |
21489
255.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32551
250.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33373
257.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
30577
238.8 IPS |
|
|
Style Transfer (SP)
|
100% |
106218
136.5 IPS |
|
|
Style Transfer (HP)
|
100% |
113014
145.3 IPS |
|
|
Style Transfer (Q)
|
96% |
110908
143.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18172
671.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18421
680.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16417
606.2 IPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5291
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5140
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4672
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4838
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4886
84.4 IPS |
