Mac16,11
Geekbench AI Score
5738
Single Precision Score
8874
Half Precision Score
6886
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:26 PM |
| 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 | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
3032
563.9 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3920
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18778
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30959
36.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
23983
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.1 IPS |
|
|
Object Detection (HP)
|
97% |
3828
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
4499
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
7661
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4575
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8609
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13961
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10156
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35312
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49201
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37624
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7048
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9569
353.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5419
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5296
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5257
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5669
97.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8855
153.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8769
151.5 IPS |
