Mac mini (2024)
Geekbench AI Score
5395
Single Precision Score
37276
Half Precision Score
49978
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mrgnw |
| Upload Date | April 16 2025 05:36 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
17542
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
23727
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23351
378.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32299
523.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17433
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122831
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
229087
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
20157
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
23925
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4685
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
45753
543.6 IPS |
|
|
Face Detection (Q)
|
100% |
56971
676.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8656
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112313
865.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177157
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25384
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238659
306.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303350
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46838
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80226
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5404
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5638
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16456
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17190
297.1 IPS |
