Mac16,11
Geekbench AI Score
5759
Single Precision Score
8885
Half Precision Score
6757
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 08:13 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
3024
562.4 IPS |
|
|
Image Classification (Q)
|
96% |
2198
410.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3490
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3911
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18959
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31149
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24034
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.7 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
4492
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
7634
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4469
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8886
68.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14554
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10184
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35483
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50605
65.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38777
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7028
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9568
353.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4481
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5298
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5258
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5702
98.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8623
149.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8674
149.9 IPS |
