Mac16,11
Geekbench AI Score
14808
Single Precision Score
16712
Half Precision Score
14726
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | amoudruz |
| Upload Date | November 12 2024 04:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8029
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8578
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
7222
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12390
200.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13361
216.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13645
221.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
57091
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
59441
69.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
56338
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
7497
594.7 IPS |
|
|
Object Detection (HP)
|
100% |
7951
630.7 IPS |
|
|
Object Detection (Q)
|
91% |
6605
527.8 IPS |
|
|
Face Detection (SP)
|
100% |
25985
308.8 IPS |
|
|
Face Detection (HP)
|
100% |
29344
348.7 IPS |
|
|
Face Detection (Q)
|
100% |
20327
241.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
34737
267.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36969
284.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
30661
239.6 IPS |
|
|
Style Transfer (SP)
|
100% |
124554
160.1 IPS |
|
|
Style Transfer (HP)
|
100% |
136914
176.0 IPS |
|
|
Style Transfer (Q)
|
96% |
128790
166.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23655
873.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25300
934.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20368
752.1 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5279
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5261
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1582
27.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1521
26.3 IPS |
