Mac mini (2024)
Geekbench AI Score
5220
Single Precision Score
37905
Half Precision Score
51816
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 13 2025 02:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2006
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
18310
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
23527
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23443
380.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33396
541.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16088
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123483
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229929
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
20552
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
25164
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4407
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
45824
544.5 IPS |
|
|
Face Detection (Q)
|
100% |
65230
775.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8365
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112373
865.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
179401
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25576
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
237450
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
305850
394.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5882
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47354
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83585
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5856
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6162
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5306
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16581
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16651
287.8 IPS |
