Mac mini (2024)
Geekbench AI Score
5551
Single Precision Score
37865
Half Precision Score
50793
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | flyingzucchini |
| Upload Date | November 16 2025 02:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
18415
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
22053
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23633
383.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33525
543.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16856
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123276
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231305
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
20800
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
24697
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4666
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
44018
523.0 IPS |
|
|
Face Detection (Q)
|
100% |
64658
768.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8384
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
113161
871.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178453
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
29783
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237763
305.6 IPS |
|
|
Style Transfer (Q)
|
96% |
328079
423.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6902
254.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49596
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79572
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3152
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5494
94.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16389
282.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16464
284.5 IPS |
