Mac mini (2024)
Geekbench AI Score
5778
Single Precision Score
37201
Half Precision Score
48473
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | paparazzi83 |
| Upload Date | April 03 2025 07:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
17604
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
22664
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23160
375.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32699
530.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18898
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123471
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229087
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
20103
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24154
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4523
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
45787
544.0 IPS |
|
|
Face Detection (Q)
|
100% |
55585
660.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8703
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
107197
825.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
181760
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35474
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238005
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303985
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7095
262.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46987
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79394
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5570
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4363
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5714
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16407
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16419
283.7 IPS |
