Mac mini (2024)
Geekbench AI Score
5733
Single Precision Score
35872
Half Precision Score
48915
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dragokeys |
| Upload Date | May 27 2025 07:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
16900
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
21499
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23117
374.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31644
513.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18763
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
123311
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230840
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
19590
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23273
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4501
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
45290
538.1 IPS |
|
|
Face Detection (Q)
|
100% |
63188
750.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8779
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104795
807.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
175856
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
35413
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238362
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302691
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7007
258.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45632
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77005
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4504
6.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5169
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5694
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16083
277.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16028
277.0 IPS |
