Mac mini (2024)
Geekbench AI Score
14440
Single Precision Score
16368
Half Precision Score
14556
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | RG22032 |
| Upload Date | January 28 2025 02:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7830
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8288
1.54 KIPS |
|
|
Image Classification (Q)
|
97% |
7104
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12121
196.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13060
211.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13385
217.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56807
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59225
69.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
56029
65.7 IPS |
|
|
Object Detection (SP)
|
100% |
6976
553.3 IPS |
|
|
Object Detection (HP)
|
100% |
7689
609.9 IPS |
|
|
Object Detection (Q)
|
91% |
6370
509.0 IPS |
|
|
Face Detection (SP)
|
100% |
24973
296.7 IPS |
|
|
Face Detection (HP)
|
100% |
28662
340.6 IPS |
|
|
Face Detection (Q)
|
100% |
21450
254.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33272
256.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35867
276.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
29559
231.0 IPS |
|
|
Style Transfer (SP)
|
100% |
123590
158.9 IPS |
|
|
Style Transfer (HP)
|
100% |
135657
174.4 IPS |
|
|
Style Transfer (Q)
|
96% |
127438
164.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23090
852.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24349
899.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19480
719.3 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5345
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5308
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1506
26.0 IPS |
