Mac mini (2024)
Geekbench AI Score
5669
Single Precision Score
37943
Half Precision Score
50410
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | i_am_taikun |
| Upload Date | March 08 2025 06:33 AM |
| Views | 10 |
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 | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2065
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
18159
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
23707
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23166
375.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32620
528.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18707
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124282
145.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229827
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
21767
1.73 KIPS |
|
|
Object Detection (Q)
|
91% |
26643
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4408
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
44158
524.7 IPS |
|
|
Face Detection (Q)
|
100% |
59424
706.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111409
858.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177575
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35532
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237825
305.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303240
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6959
257.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48092
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78344
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5746
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5651
97.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16812
289.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16283
281.4 IPS |
