Mac mini (2024) NPU Mac mini (2024)
Geekbench AI Score
5363
Single Precision Score
37396
Half Precision Score
51866
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | wardie |
| Upload Date | September 07 2025 11:06 AM |
| Views | 22 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 3.98 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
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
18489
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
23465
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23372
378.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33593
544.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16993
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
121216
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232918
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (HP)
|
100% |
21180
1.68 KIPS |
|
|
Object Detection (Q)
|
91% |
26208
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4486
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
44316
526.6 IPS |
|
|
Face Detection (Q)
|
100% |
65913
783.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8645
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111982
862.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
176997
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25548
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237862
305.8 IPS |
|
|
Style Transfer (Q)
|
96% |
304232
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47716
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80161
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5245
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6336
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5550
95.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16321
281.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16243
280.7 IPS |
