Mac mini (2024)
Geekbench AI Score
5747
Single Precision Score
36282
Half Precision Score
49216
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | pr0n |
| Upload Date | March 20 2025 11:59 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2091
388.9 IPS |
|
|
Image Classification (HP)
|
100% |
17153
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
21417
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23188
375.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31985
518.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18945
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123293
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229914
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
20832
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
23598
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4554
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
45454
540.1 IPS |
|
|
Face Detection (Q)
|
100% |
62424
741.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8793
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105514
812.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177105
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35458
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237840
305.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303849
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7014
259.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47097
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78254
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4452
5.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5274
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5693
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16178
278.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16185
279.7 IPS |
