Mac mini (2024)
Geekbench AI Score
5401
Single Precision Score
37646
Half Precision Score
50500
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 07 2025 06:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
18691
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
22711
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23334
378.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32230
522.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17333
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122796
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
229809
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
20557
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
23924
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4735
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
45677
542.7 IPS |
|
|
Face Detection (Q)
|
100% |
63249
751.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8654
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112071
863.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177466
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25311
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
239259
307.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303210
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5955
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46793
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78481
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5508
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6084
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5669
97.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16451
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16498
285.1 IPS |
