Mac mini (2024)
Geekbench AI Score
5783
Single Precision Score
37282
Half Precision Score
50259
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | timk |
| Upload Date | September 15 2025 08:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2155
400.8 IPS |
|
|
Image Classification (HP)
|
100% |
17631
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
21538
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23516
381.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32549
527.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17313
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122845
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
228843
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.4 IPS |
|
|
Object Detection (HP)
|
100% |
19998
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24620
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
5093
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
44067
523.6 IPS |
|
|
Face Detection (Q)
|
100% |
62947
747.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8782
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
107020
824.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
174304
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
30721
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237451
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
327398
422.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7099
262.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49027
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78368
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5915
101.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16423
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16543
285.9 IPS |
