Mac mini (2024)
Geekbench AI Score
14378
Single Precision Score
16154
Half Precision Score
14477
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | pr0n |
| Upload Date | March 20 2025 12:04 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
7536
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7990
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6841
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11949
193.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12953
210.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13409
217.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56739
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59070
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55892
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7158
567.8 IPS |
|
|
Object Detection (HP)
|
100% |
7738
613.8 IPS |
|
|
Object Detection (Q)
|
91% |
6424
513.3 IPS |
|
|
Face Detection (SP)
|
100% |
25922
308.0 IPS |
|
|
Face Detection (HP)
|
100% |
29061
345.3 IPS |
|
|
Face Detection (Q)
|
100% |
21287
252.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33211
255.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35827
276.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29561
231.0 IPS |
|
|
Style Transfer (SP)
|
100% |
123920
159.3 IPS |
|
|
Style Transfer (HP)
|
100% |
135381
174.0 IPS |
|
|
Style Transfer (Q)
|
96% |
127829
165.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23230
857.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24456
903.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19699
727.4 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5183
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5169
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1427
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1499
25.9 IPS |
