Mac mini (2024)
Geekbench AI Score
5000
Single Precision Score
38692
Half Precision Score
52486
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Bhealey |
| Upload Date | October 18 2025 07:42 PM |
| Views | 9 |
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 | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1972
366.7 IPS |
|
|
Image Classification (HP)
|
100% |
18047
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
23099
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23788
385.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32954
534.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14059
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
124146
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
227392
266.5 IPS |
|
|
Object Detection (SP)
|
100% |
1987
157.6 IPS |
|
|
Object Detection (HP)
|
100% |
22093
1.75 KIPS |
|
|
Object Detection (Q)
|
91% |
26658
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4193
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
42678
507.1 IPS |
|
|
Face Detection (Q)
|
100% |
63976
760.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8127
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111925
862.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
185031
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
25027
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
238750
306.9 IPS |
|
|
Style Transfer (Q)
|
96% |
310111
400.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6305
232.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48239
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81695
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
6779
9.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6819
9.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5206
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17125
295.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16815
290.6 IPS |
