Mac mini (2024)
Geekbench AI Score
5384
Single Precision Score
37886
Half Precision Score
49775
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AlexeySukhanov |
| Upload Date | October 15 2025 08:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
18275
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
22264
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23419
379.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32350
524.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17337
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123436
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231113
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
100% |
20069
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24604
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4700
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
45966
546.2 IPS |
|
|
Face Detection (Q)
|
100% |
59352
705.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8656
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112179
864.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
181107
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
25562
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
239928
308.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303989
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47412
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80983
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2878
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5175
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5625
96.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16727
288.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16646
287.7 IPS |
