Mac mini (2024)
Geekbench AI Score
14125
Single Precision Score
16074
Half Precision Score
14285
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | GPV67 |
| Upload Date | December 04 2024 12:54 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
7604
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
8181
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
6976
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12074
195.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13144
213.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13213
214.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46807
54.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
59125
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55946
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
7157
567.7 IPS |
|
|
Object Detection (HP)
|
100% |
7586
601.7 IPS |
|
|
Object Detection (Q)
|
91% |
6387
510.4 IPS |
|
|
Face Detection (SP)
|
100% |
25063
297.8 IPS |
|
|
Face Detection (HP)
|
100% |
27616
328.1 IPS |
|
|
Face Detection (Q)
|
100% |
20851
247.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33669
259.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35961
277.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
29539
230.9 IPS |
|
|
Style Transfer (SP)
|
100% |
124099
159.5 IPS |
|
|
Style Transfer (HP)
|
100% |
135037
173.6 IPS |
|
|
Style Transfer (Q)
|
96% |
126727
163.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23001
849.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23775
877.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19306
712.9 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5289
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5250
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1358
23.5 IPS |
