Mac mini (2024)
Geekbench AI Score
5743
Single Precision Score
36343
Half Precision Score
50071
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Chilei |
| Upload Date | December 07 2024 05:46 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
17445
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
23109
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23152
375.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32116
520.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18937
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123547
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231263
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
19885
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24020
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4522
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
42303
502.7 IPS |
|
|
Face Detection (Q)
|
100% |
57618
684.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8643
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
106311
819.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
176801
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35871
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
238982
307.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301624
389.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7005
258.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46347
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77875
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5037
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6225
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5711
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16147
278.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16133
278.8 IPS |
