Mac mini (2024)
Geekbench AI Score
5809
Single Precision Score
38874
Half Precision Score
53290
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | 0x1ac |
| Upload Date | March 08 2026 11:00 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.3 IPS |
|
|
Image Classification (HP)
|
100% |
19651
3.65 KIPS |
|
|
Image Classification (Q)
|
97% |
25682
4.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23922
387.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32975
534.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17455
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123526
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
234317
274.6 IPS |
|
|
Object Detection (SP)
|
100% |
2535
201.0 IPS |
|
|
Object Detection (HP)
|
100% |
21793
1.73 KIPS |
|
|
Object Detection (Q)
|
91% |
27290
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
5053
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
45197
537.0 IPS |
|
|
Face Detection (Q)
|
100% |
64859
770.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
113229
872.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
182394
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
30987
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
239444
307.8 IPS |
|
|
Style Transfer (Q)
|
96% |
332261
428.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51212
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86095
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
6034
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
18189
313.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18116
313.1 IPS |
