Mac mini (2024)
Geekbench AI Score
5753
Single Precision Score
8896
Half Precision Score
6915
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | PaxtonPolar |
| Upload Date | December 31 2024 05:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2096
389.7 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.4 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3574
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3932
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19005
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30583
35.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24182
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.9 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
4481
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
7794
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4672
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8800
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14003
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10079
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35508
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49528
63.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38495
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7038
259.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9774
360.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5361
198.0 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5305
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5228
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5571
96.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8710
150.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8814
152.3 IPS |
