Mac mini (2024)
Geekbench AI Score
5350
Single Precision Score
38251
Half Precision Score
51071
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 28 2025 01:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
18068
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
22240
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22834
370.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32467
526.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16986
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122618
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230708
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
20544
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
24412
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4659
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
45548
541.2 IPS |
|
|
Face Detection (Q)
|
100% |
63061
749.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
113406
873.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
181864
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
25522
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237150
304.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301876
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5954
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47293
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79728
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6678
8.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6372
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5462
94.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16680
287.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16879
291.7 IPS |
