Mac mini (2024)
Geekbench AI Score
5751
Single Precision Score
36303
Half Precision Score
48260
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | urix |
| Upload Date | February 22 2025 08:22 PM |
| Views | 9 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
17437
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
22010
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23139
375.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32242
522.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18889
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123265
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230923
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
20362
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
23948
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4517
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
39368
467.8 IPS |
|
|
Face Detection (Q)
|
100% |
55002
653.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8651
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105867
815.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
180128
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35532
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
238345
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302007
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7013
259.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46707
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78850
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5163
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4486
6.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5742
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16392
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16502
285.2 IPS |
