Mac mini (2024)
Geekbench AI Score
14507
Single Precision Score
16968
Half Precision Score
14573
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ymmij |
| Upload Date | December 12 2024 09:18 PM |
| Views | 7 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7717
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8287
1.54 KIPS |
|
|
Image Classification (Q)
|
97% |
7038
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12213
198.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13068
211.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13389
217.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56594
66.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
59152
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55852
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7252
575.2 IPS |
|
|
Object Detection (HP)
|
100% |
7621
604.5 IPS |
|
|
Object Detection (Q)
|
91% |
6374
509.3 IPS |
|
|
Face Detection (SP)
|
100% |
25355
301.3 IPS |
|
|
Face Detection (HP)
|
100% |
28795
342.2 IPS |
|
|
Face Detection (Q)
|
100% |
21001
249.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33806
260.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36030
277.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
30450
238.0 IPS |
|
|
Style Transfer (SP)
|
100% |
123659
159.0 IPS |
|
|
Style Transfer (HP)
|
100% |
135509
174.2 IPS |
|
|
Style Transfer (Q)
|
96% |
127615
164.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23343
862.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24598
908.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19608
724.0 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5248
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5209
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1466
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2234
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1546
26.7 IPS |
