Mac mini (2024)
Geekbench AI Score
16089
Single Precision Score
17644
Half Precision Score
15636
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | werfree |
| Upload Date | April 13 2025 05:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7540
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
8009
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
7481
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14226
230.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14953
242.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14207
230.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56134
65.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59011
68.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
57080
66.9 IPS |
|
|
Object Detection (SP)
|
100% |
6733
534.1 IPS |
|
|
Object Detection (HP)
|
100% |
7434
589.6 IPS |
|
|
Object Detection (Q)
|
92% |
6868
548.2 IPS |
|
|
Face Detection (SP)
|
100% |
25151
298.9 IPS |
|
|
Face Detection (HP)
|
100% |
28731
341.4 IPS |
|
|
Face Detection (Q)
|
100% |
24258
288.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33140
255.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35386
272.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
32483
254.0 IPS |
|
|
Style Transfer (SP)
|
100% |
123153
158.3 IPS |
|
|
Style Transfer (HP)
|
100% |
134854
173.4 IPS |
|
|
Style Transfer (Q)
|
96% |
131654
169.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23042
850.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24788
915.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20654
762.6 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5323
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5115
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4194
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1914
33.1 IPS |
