Mac16,11
Geekbench AI Score
5808
Single Precision Score
8895
Half Precision Score
6906
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | alezanatta |
| Upload Date | November 21 2024 10:17 PM |
| Views | 21 |
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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
3054
567.9 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3557
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3960
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18828
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31097
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23523
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
97% |
3833
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
4576
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7761
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4624
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8780
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13551
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9927
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35475
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48516
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38288
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7122
263.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9685
357.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5339
197.1 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5407
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5379
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5802
99.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8964
154.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8901
153.8 IPS |
