Mac mini (2024)
Geekbench AI Score
14336
Single Precision Score
16071
Half Precision Score
14407
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 01:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
7532
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7925
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
6855
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11979
194.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12829
208.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13236
214.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56763
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59173
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
56315
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
7151
567.2 IPS |
|
|
Object Detection (HP)
|
100% |
7707
611.3 IPS |
|
|
Object Detection (Q)
|
91% |
6365
508.6 IPS |
|
|
Face Detection (SP)
|
100% |
25947
308.3 IPS |
|
|
Face Detection (HP)
|
100% |
27335
324.8 IPS |
|
|
Face Detection (Q)
|
100% |
20903
248.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33136
255.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35821
276.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29634
231.6 IPS |
|
|
Style Transfer (SP)
|
100% |
123877
159.2 IPS |
|
|
Style Transfer (HP)
|
100% |
134931
173.5 IPS |
|
|
Style Transfer (Q)
|
96% |
127103
164.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22896
845.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24727
913.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19159
707.5 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5360
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1466
25.3 IPS |
