Mac mini (2024)
Geekbench AI Score
14265
Single Precision Score
16202
Half Precision Score
14409
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 08:46 PM |
| Views | 3 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7431
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
8086
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
6850
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11995
194.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12896
209.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13218
214.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56721
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
58973
68.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
55829
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
7141
566.4 IPS |
|
|
Object Detection (HP)
|
100% |
7684
609.5 IPS |
|
|
Object Detection (Q)
|
91% |
6408
512.1 IPS |
|
|
Face Detection (SP)
|
100% |
25125
298.5 IPS |
|
|
Face Detection (HP)
|
100% |
28369
337.1 IPS |
|
|
Face Detection (Q)
|
100% |
20806
247.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33185
255.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35746
275.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
29506
230.6 IPS |
|
|
Style Transfer (SP)
|
100% |
123685
159.0 IPS |
|
|
Style Transfer (HP)
|
100% |
134727
173.2 IPS |
|
|
Style Transfer (Q)
|
96% |
126941
163.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22909
845.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24792
915.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19151
707.2 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5170
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5293
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1508
26.1 IPS |
