Mac16,11
Geekbench AI Score
5766
Single Precision Score
8904
Half Precision Score
6915
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | nexsus |
| Upload Date | November 11 2024 05:23 PM |
| Views | 10 |
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, 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% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
3034
564.3 IPS |
|
|
Image Classification (Q)
|
96% |
2176
406.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3440
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3934
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18861
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31504
36.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24039
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4559
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
7975
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
4663
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8830
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14225
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10150
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35757
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49996
64.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39245
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7031
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9571
353.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5264
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5273
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5230
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5738
98.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8703
150.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8924
154.2 IPS |
