Mac mini (2024)
Geekbench AI Score
12776
Single Precision Score
14141
Half Precision Score
12510
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | twonuh |
| Upload Date | February 12 2025 12:55 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
6918
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7347
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6200
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10622
172.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11082
179.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11338
183.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
46255
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48232
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45766
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6760
536.2 IPS |
|
|
Object Detection (HP)
|
100% |
7327
581.1 IPS |
|
|
Object Detection (Q)
|
91% |
6054
483.8 IPS |
|
|
Face Detection (SP)
|
100% |
23474
278.9 IPS |
|
|
Face Detection (HP)
|
100% |
23858
283.5 IPS |
|
|
Face Detection (Q)
|
100% |
18581
220.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
31117
239.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32931
253.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
26981
210.9 IPS |
|
|
Style Transfer (SP)
|
100% |
104615
134.5 IPS |
|
|
Style Transfer (HP)
|
100% |
112628
144.8 IPS |
|
|
Style Transfer (Q)
|
96% |
106915
138.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16469
608.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17296
638.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13809
509.9 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5198
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5157
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1263
21.8 IPS |
